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# 🔄 Quantum Machine Learning (QML) Papers

This section of the **Quantum AI Papers** repository focuses on **Quantum Machine Learning (QML)**.  
QTL leverages knowledge from pre-trained quantum or hybrid quantum-classical models and adapts it to new tasks or domains. This paradigm plays a crucial role in overcoming limitations of small datasets, reducing training costs, and accelerating the deployment of quantum-enhanced AI systems.

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## 📚 Scope
Research papers in this category explore:
- Transfer of learned quantum circuit parameters between tasks  
- Hybrid classical–quantum transfer learning frameworks  
- Applications of QTL in physics, chemistry, medical imaging, and natural language processing  
- Optimization strategies to mitigate issues such as barren plateaus  
- Cross-domain transfer of quantum models for practical real-world problems

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## 🗂️ Papers List

| title                                                                                                                                                                                                         |   year | publisher                                                                                   | Author                                                                                                                                                                   | link                                                                                                                                     | category   |
|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------:|:--------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------|:-----------|
| Systematic literature review: Quantum machine learning and its applications                                                                                                                                   |   2024 | Computer Science Review                                                                     | Peral-García, David, Juan Cruz-Benito, and Francisco José García-Peñalvo.                                                                                                | https://www.sciencedirect.com/science/article/pii/S1574013724000030                                                                      | QML        |
| Shadows of quantum machine learning                                                                                                                                                                           |   2024 | Nature Communications                                                                       | Jerbi, Sofiene, et al.                                                                                                                                                   | https://www.nature.com/articles/s41467-024-49877-8                                                                                       | QML        |
| Quantum Machine Learning Revolution in Healthcare: A Systematic Review of Emerging Perspectives and Applications                                                                                              |   2024 | IEEE Access                                                                                 | Ullah, Ubaid, and Begonya Garcia-Zapirain.                                                                                                                               | https://ieeexplore.ieee.org/abstract/document/10398184                                                                                   | QML        |
| Quantum machine learning for image classification                                                                                                                                                             |   2024 | Machine Learning: Science and Technology                                                    | Senokosov, Arsenii, et al.                                                                                                                                               | https://iopscience.iop.org/article/10.1088/2632-2153/ad2aef/meta                                                                         | QML        |
| Quantum machine learning on near-term quantum devices: Current state of supervised and unsupervised techniques for real-world applications                                                                    |   2024 | Physical Review Applied                                                                     | Gujju, Yaswitha, Atsushi Matsuo, and Rudy Raymond.                                                                                                                       | https://journals.aps.org/prapplied/abstract/10.1103/PhysRevApplied.21.067001                                                             | QML        |
| Better than classical? The subtle art of benchmarking quantum machine learning models                                                                                                                         |   2024 | arXiv                                                                                       | Bowles, Joseph, Shahnawaz Ahmed, and Maria Schuld.                                                                                                                       | https://arxiv.org/abs/2403.07059                                                                                                         | QML        |
| Understanding quantum machine learning also requires rethinking generalization                                                                                                                                |   2024 | Nature Communications                                                                       | Gil-Fuster, Elies, Jens Eisert, and Carlos Bravo-Prieto.                                                                                                                 | https://www.nature.com/articles/s41467-024-45882-z                                                                                       | QML        |
| Quantum machine learning for support vector machine classification                                                                                                                                            |   2024 | Evolutionary Intelligence                                                                   | Kavitha, S. S., and Narasimha Kaulgud.                                                                                                                                   | https://link.springer.com/article/10.1007/s12065-022-00756-5                                                                             | QML        |
| Provably Trainable Rotationally Equivariant Quantum Machine Learning                                                                                                                                          |   2024 | PRX Quantum                                                                                 | West, Maxwell T., et al.                                                                                                                                                 | https://journals.aps.org/prxquantum/abstract/10.1103/PRXQuantum.5.030320                                                                 | QML        |
| Quantum Machine Learning - Models and Algorithms: Studying quantum machine learning models and algorithms for leveraging quantum computing advantages in data analysis, pattern recognition, and optimization |   2024 | Australian Journal of Machine Learning Research & Applications                              | Abbas, Hassan.                                                                                                                                                           | https://sydneyacademics.com/index.php/ajmlra/article/view/68                                                                             | QML        |
| Quantum Machine Learning: Exploring the Potential of Quantum Computing forAI Applications                                                                                                                     |   2024 | nan                                                                                         | Potter, Kaledio, and Dylan Stilinski.                                                                                                                                    | -                                                                                                                                        | QML        |
| Dynamical simulation via quantum machine learning with provable generalization                                                                                                                                |   2024 | Physical Review Research                                                                    | Gibbs, Joe, et al.                                                                                                                                                       | https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.6.013241                                                            | QML        |
| Symmetry Breaking in Geometric Quantum Machine Learning in the Presence of Noise                                                                                                                              |   2024 | PRX Quantum                                                                                 | Tüysüz, Cenk, et al.                                                                                                                                                     | https://journals.aps.org/prxquantum/abstract/10.1103/PRXQuantum.5.030314                                                                 | QML        |
| Generative Quantum Machine Learning via Denoising Diffusion Probabilistic Models                                                                                                                              |   2024 | Physical Review Letters                                                                     | Zhang, Bingzhi, et al.                                                                                                                                                   | https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.132.100602                                                                     | QML        |
| Applications of Quantum Machine Learning in Large-Scale E-commerce Recommendation Systems: Enhancing Efficiency and Accuracy                                                                                  |   2024 | Journal of Industrial Engineering and Applied Science                                       | Shi, Jiatu, et al.                                                                                                                                                       | https://www.suaspress.org/ojs/index.php/JIEAS/article/view/v2n4a14                                                                       | QML        |
| An improved classical singular value transformation for quantum machine learning                                                                                                                              |   2024 | Annual ACM-SIAM Symposium on Discrete Algorithms (SODA)                                     | Bakshi, Ainesh, and Ewin Tang.                                                                                                                                           | https://epubs.siam.org/doi/abs/10.1137/1.9781611977912.86                                                                                | QML        |
| Blind Quantum Machine Learning with Quantum Bipartite Correlator                                                                                                                                              |   2024 | Physical Review Letters                                                                     | Li, Changhao, et al.                                                                                                                                                     | https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.133.120602                                                                     | QML        |
| Quantum Machine Learning for Computational Methods in Engineering: A Systematic Review                                                                                                                        |   2024 | Archives of Computational Methods in Engineering                                            | Sood, Sandeep Kumar, and Monika Agrewal.                                                                                                                                 | https://link.springer.com/article/10.1007/s11831-023-10027-w                                                                             | QML        |
| Overcoming the coherence time barrier in quantum machine learning on temporal data                                                                                                                            |   2024 | Nature Communications                                                                       | Hu, Fangjun, et al.                                                                                                                                                      | https://www.nature.com/articles/s41467-024-51162-7                                                                                       | QML        |
| Non-Unitary Quantum Machine Learning                                                                                                                                                                          |   2024 | arXiv                                                                                       | Heredge, Jamie, et al.                                                                                                                                                   | https://arxiv.org/abs/2405.17388                                                                                                         | QML        |
| Blockchain and Quantum Machine Learning Driven Energy Trading for Electric Vehicles                                                                                                                           |   2024 | Ad Hoc Networks                                                                             | Kashyap, Pankaj Kumar, et al.                                                                                                                                            | https://www.sciencedirect.com/science/article/abs/pii/S1570870524002439                                                                  | QML        |
| Predicting Demand in Supply Chain Networks With Quantum Machine Learning Approach                                                                                                                             |   2024 | . IGI Global                                                                                | Sehrawat, Sunil Kumar, et al.                                                                                                                                            | https://www.igi-global.com/chapter/predicting-demand-in-supply-chain-networks-with-quantum-machine-learning-approach/351811              | QML        |
| AI-Infused Quantum Machine Learning for Enhanced Supply Chain Forecasting                                                                                                                                     |   2024 | . IGI Global                                                                                | Gutta, Leela Manush, et al.                                                                                                                                              | https://www.igi-global.com/chapter/ai-infused-quantum-machine-learning-for-enhanced-supply-chain-forecasting/351812                      | QML        |
| Dequantizing quantum machine learning models using tensor networks                                                                                                                                            |   2024 | Physical Review Research                                                                    | Shin, Seongwook, Yong Siah Teo, and Hyunseok Jeong.                                                                                                                      | https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.6.023218                                                            | QML        |
| Scalable quantum dynamics compilation via quantum machine learning                                                                                                                                            |   2024 | arXiv                                                                                       | Zhang, Yuxuan, et al.                                                                                                                                                    | https://arxiv.org/abs/2409.16346                                                                                                         | QML        |
| Financial fraud detection: a comparative study of quantum machine learning models                                                                                                                             |   2024 | International Journal of Quantum Information                                                | Innan, Nouhaila, Muhammad Al-Zafar Khan, and Mohamed Bennai.                                                                                                             | https://www.worldscientific.com/doi/abs/10.1142/S0219749923500442?download=true&journalCode=ijqi                                         | QML        |
| Federated Quantum Machine Learning with Differential Privacy                                                                                                                                                  |   2024 | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)           | Rofougaran, Rod, et al.                                                                                                                                                  | https://ieeexplore.ieee.org/abstract/document/10447155                                                                                   | QML        |
| Measurement-based quantum machine learning                                                                                                                                                                    |   2024 | arXiv                                                                                       | Calderón, Luis Mantilla, et al.                                                                                                                                          | https://arxiv.org/abs/2405.08319                                                                                                         | QML        |
| Improving gradient methods via coordinate transformations: Applications to quantum machine learning                                                                                                           |   2024 | Physical Review Research                                                                    | Bermejo, Pablo, Borja Aizpurua, and Román Orús.                                                                                                                          | https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.6.023069                                                            | QML        |
| Predominant Aspects on Security for Quantum Machine Learning: Literature Review                                                                                                                               |   2024 | arXiv                                                                                       | Franco, Nicola, et al.                                                                                                                                                   | https://arxiv.org/abs/2401.07774                                                                                                         | QML        |
| Innan, Nouhaila, et al. "Quantum state tomography using quantum machine learning." Quantum Machine Intelligence 6.1 (2024): 28.                                                                               |   2024 | Quantum Machine Intelligence                                                                | Innan, Nouhaila, et al.                                                                                                                                                  | https://link.springer.com/article/10.1007/s42484-024-00162-3                                                                             | QML        |
| Improved financial forecasting via quantum machine learning                                                                                                                                                   |   2024 | Quantum Machine Intelligence                                                                | Thakkar, Sohum, et al.                                                                                                                                                   | https://link.springer.com/article/10.1007/s42484-024-00157-0                                                                             | QML        |
| Quantum Machine Learning for Credit Scoring                                                                                                                                                                   |   2024 | Mathematics                                                                                 | Schetakis, Nikolaos, et al.                                                                                                                                              | https://www.mdpi.com/2227-7390/12/9/1391                                                                                                 | QML        |
| A comparative and practical approach using quantum machine learning (QML) and support vector classifier (SVC) for Light emitting diodes mediated in vitro micropropagation of black mulberry (Morus nigra L.) |   2024 | Industrial Crops and Products                                                               | Aasim, Muhammad, et al.                                                                                                                                                  | https://www.sciencedirect.com/science/article/abs/pii/S0926669024003741                                                                  | QML        |
| Variational quantum circuit-based quantum machine learning approach for predicting corrosion inhibition efficiency of pyridine-quinoline compounds                                                            |   2024 | Materials Today Quantum                                                                     | Akrom, Muhamad, Supriadi Rustad, and Hermawan Kresno Dipojono.                                                                                                           | https://www.sciencedirect.com/science/article/pii/S2950257824000076                                                                      | QML        |
| A parallel quantum eigensolver for quantum machine learning                                                                                                                                                   |   2024 | New Journal of Physics                                                                      | Yang, Fan, et al.                                                                                                                                                        | https://iopscience.iop.org/article/10.1088/1367-2630/ad15b4/meta                                                                         | QML        |
| Quantum machine learning-based framework to detect heart failures in Healthcare 4.0                                                                                                                           |   2024 | Software: Practice and Experience                                                           | Munshi, Manushi, et al.                                                                                                                                                  | https://onlinelibrary.wiley.com/doi/abs/10.1002/spe.3264                                                                                 | QML        |
| A comprehensive approach utilizing quantum machine learning in the study of corrosion inhibition on quinoxaline compounds                                                                                     |   2024 | Artificial Intelligence Chemistry                                                           | Akrom, Muhamad, et al.                                                                                                                                                   | https://www.sciencedirect.com/science/article/pii/S2949747724000319                                                                      | QML        |
| Quantum Machine Learning Playground                                                                                                                                                                           |   2024 | IEEE Computer Graphics and Applications                                                     | Debus, Pascal, Sebastian Issel, and Kilian Tscharke.                                                                                                                     | https://ieeexplore.ieee.org/abstract/document/10669759                                                                                   | QML        |
| Transition role of entangled data in quantum machine learning                                                                                                                                                 |   2024 | Nature Communications                                                                       | Wang, Xinbiao, et al.                                                                                                                                                    | https://www.nature.com/articles/s41467-024-47983-1                                                                                       | QML        |
| Permutation invariant encodings for quantum machine learning with point cloud data                                                                                                                            |   2024 | Quantum Machine Intelligence                                                                | Heredge, Jamie, et al.                                                                                                                                                   | https://link.springer.com/article/10.1007/s42484-024-00156-1                                                                             | QML        |
| Encoding optimization for quantum machine learning demonstrated on a superconducting transmon qutrit                                                                                                          |   2024 | Quantum Science and Technology                                                              | Cao, Shuxiang, et al.                                                                                                                                                    | https://iopscience.iop.org/article/10.1088/2058-9565/ad7315/meta                                                                         | QML        |
| A new quantum machine learning algorithm: split hidden quantum Markov model inspired by quantum conditional master equation.                                                                                  |   2024 | Quantum                                                                                     | Li, Xiao-Yu, et al.                                                                                                                                                      | nan                                                                                                                                      | QML        |
| Alleviating Barren Plateaus in Parameterized Quantum Machine Learning Circuits: Investigating Advanced Parameter Initialization Strategies                                                                    |   2024 | Design, Automation & Test in Europe Conference & Exhibition (DATE)                          | Kashif, Muhammad, et al.                                                                                                                                                 | https://ieeexplore.ieee.org/abstract/document/10546644                                                                                   | QML        |
| Variational quantum approximate support vector machine with inference transfer                                                                                                                                |   2023 | Scientific reports                                                                          | Siheon Park, Daniel K. Park, June-Koo Kevin Rhee                                                                                                                         | https://doi.org/10.1038/s41598-023-29495-y                                                                                               | QML        |
| Quantum Machine Learning: A Review and Case Studies                                                                                                                                                           |   2023 | MDPI                                                                                        | Amine Zeguendry, Zahi Jarir, Mohamed Quafafou                                                                                                                            | https://doi.org/10.3390/e25020287                                                                                                        | QML        |
| Benchmarking adversarially robust quantum machine learning at scale                                                                                                                                           |   2023 | APS : Physical Review Research                                                              | Maxwell T. West, Sarah M. Erfani, Christopher Leckie, Martin Sevior, Lloyd C. L. Hollenberg, Muhammad Usman                                                              | https://doi.org/10.1103/PhysRevResearch.5.023186                                                                                         | QML        |
| Learning lattice quantum field theories with equivariant continuous flows                                                                                                                                     |   2023 | SciPost                                                                                     | Mathis Gerdes, Pim de Haan, Corrado Rainone, Roberto Bondesan, Miranda C. N. Cheng                                                                                       | https://doi.org/10.21468/SciPostPhys.15.6.238                                                                                            | QML        |
| Quantum machine learning in medical image analysis: A survey                                                                                                                                                  |   2023 | ScienceDirect                                                                               | Lin Wei, Haowen Liu, Jing Xu, Lei Shi, Zheng Shan, Bo Zhao, Yufei Gao                                                                                                    | https://doi.org/10.1016/j.neucom.2023.01.049                                                                                             | QML        |
| Quantum angle encoding with learnable rotation applied to quantum–classical convolutional neural networks                                                                                                     |   2023 | ScienceDirect                                                                               | Emmanuel Ovalle-Magallanes, Dora E. Alvarado-Carrillo, Juan Gabriel Avina-Cervantes, van Cruz-Aceves, Jose Ruiz-Pinales                                                  | https://doi.org/10.1016/j.asoc.2023.110307                                                                                               | QML        |
| Similarity-based parameter transferability in the quantum approximate optimization algorithm                                                                                                                  |   2023 | frontiers                                                                                   | Alexey Galda, Eesh Gupta, Jose Falla, Xiaoyuan Liu, Danylo Lykov, Yuri Alexeev, Ilya Safro                                                                               | https://doi.org/10.3389/frqst.2023.1200975                                                                                               | QML        |
| Learning quantum systems                                                                                                                                                                                      |   2023 | nature review                                                                               | Valentin Gebhart, Raffaele Santagati, Antonio Andrea Gentile, Erik M. Gauger, David Craig, Natalia Ares, Leonardo Banchi, Florian Marquardt, Luca Pezzè, Cristian Bonato | https://doi.org/10.1038/s42254-022-00552-1                                                                                               | QML        |
| Advances in Quantum Machine Learning and Deep Learning for Image Classification: A Survey                                                                                                                     |   2023 | ScienceDirect                                                                               | Ruba Kharsa,  Ahmed Bouridane,  Abbes Amira                                                                                                                              | https://doi.org/10.1016/j.neucom.2023.126843                                                                                             | QML        |
| Hybrid quantum ResNet for car classification and its hyperparameter optimization                                                                                                                              |   2023 | Springer                                                                                    | Asel Sagingalieva, Mo Kordzanganeh, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Perelshtein, Alexey Melnikov, Andrea Skolik, David Von Dollen              | https://doi.org/10.1007/s42484-023-00123-2                                                                                               | QML        |
| Parameter Transfer for Quantum Approximate Optimization of Weighted MaxCut                                                                                                                                    |   2023 | ACM                                                                                         | Ruslan Shaydulin, Phillip C. Lotshaw, Jeffrey Larson, James Ostrowski, Travis S. Humble                                                                                  | https://doi.org/10.1145/3584706                                                                                                          | QML        |
| Foundations of Quantum Federated Learning Over Classical and Quantum Networks                                                                                                                                 |   2023 | IEEE                                                                                        | Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Don Towsley, Mérouane Debbah                                                                                             | https://doi.org/10.1109/MNET.2023.3327365                                                                                                | QML        |
| Quantum machine learning with differential privacy                                                                                                                                                            |   2023 | Scientific reports                                                                          | William M. Watkins, Samuel Yen-Chi Chen, Shinjae Yoo                                                                                                                     | https://doi.org/10.1038/s41598-022-24082-z                                                                                               | QML        |
| Out-of-distribution generalization for learning quantum dynamics                                                                                                                                              |   2023 | nature communication                                                                        | Matthias C. Caro, Hsin-Yuan Huang, Nicholas Ezzell, Joe Gibbs, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles, Zoë Holmes                                         | https://doi.org/10.1038/s41467-023-39381-w                                                                                               | QML        |
| Exploiting Symmetry in Variational Quantum Machine Learning                                                                                                                                                   |   2023 | APS : PRX QUANTUM                                                                           | Johannes Jakob Meyer, Marian Mularski, Elies Gil-Fuster, Antonio Anna Mele, Francesco Arzani, Alissa Wilms,  Jens Eisert                                                 | https://doi.org/10.1103/PRXQuantum.4.010328                                                                                              | QML        |
| Machine learning quantum mechanical ground states based on stochastic mechanics                                                                                                                               |   2023 | APS : Physical Review A covering atomic, molecular, and optical physics and quantum science | Kai-Hendrik Henk, Wolfgang Paul                                                                                                                                          | https://doi.org/10.1103/PhysRevA.108.062412                                                                                              | QML        |
| Quantum-probabilistic Hamiltonian learning for generative modeling and anomaly detection                                                                                                                      |   2023 | APS : Physical Review A covering atomic, molecular, and optical physics and quantum science | Jack Y. Araz and Michael Spannowsky                                                                                                                                      | https://doi.org/10.1103/PhysRevA.108.062422                                                                                              | QML        |
| A semi-agnostic ansatz with variable structure for variational quantum algorithms                                                                                                                             |   2023 | Springer                                                                                    | M. Bilkis, M. Cerezo, Guillaume Verdon, Patrick J. Coles, Lukasz Cincio                                                                                                  | https://doi.org/10.1007/s42484-023-00132-1                                                                                               | QML        |
| A hybrid quantum-classical approach for inference on restricted Boltzmann machines                                                                                                                            |   2023 | Springer                                                                                    | Mārtiņš Kālis, Andris Locāns, Rolands Šikovs, Hassan Naseri, Andris Ambainis                                                                                             | https://doi.org/10.1007/s42484-023-00135-y                                                                                               | QML        |
| Time series quantum classifiers with amplitude embedding                                                                                                                                                      |   2023 | Springer                                                                                    | M. P. Cuéllar, C. Cano, L. G. B. Ruiz, L. Servadei                                                                                                                       | https://doi.org/10.1007/s42484-023-00133-0                                                                                               | QML        |
| The cross-sectional stock return predictions via quantum neural network and tensor network                                                                                                                    |   2023 | Springer                                                                                    | Nozomu Kobayashi, Yoshiyuki Suimon, Koichi Miyamoto, Kosuke Mitarai                                                                                                      | https://doi.org/10.1007/s42484-023-00136-x                                                                                               | QML        |
| A quantum “black box” for entropy calculation                                                                                                                                                                 |   2023 | Springer                                                                                    | Michal Koren, Oded Koren, Or Peretz                                                                                                                                      | https://doi.org/10.1007/s42484-023-00127-y                                                                                               | QML        |
| Data re-uploading with a single qudit                                                                                                                                                                         |   2023 | Springer                                                                                    | Noah L. Wach, Manuel S. Rudolph, Fred Jendrzejewski, Sebastian Schmitt                                                                                                   | https://doi.org/10.1007/s42484-023-00125-0                                                                                               | QML        |
| Comparing quantum and classical machine learning for Vector Boson Scattering background reduction at the Large Hadron Collider                                                                                |   2023 | Springer                                                                                    | Davide Cugini, Dario Gerace, Pietro Govoni, Aurora Perego, Davide Valsecchi                                                                                              | https://doi.org/10.1007/s42484-023-00106-3                                                                                               | QML        |
| Classical splitting of parametrized quantum circuits                                                                                                                                                          |   2023 | Springer                                                                                    | Cenk Tüysüz, Giuseppe Clemente, Arianna Crippa, Tobias Hartung, Stefan Kühn, Karl Jansen                                                                                 | https://doi.org/10.1007/s42484-023-00118-z                                                                                               | QML        |
| Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning                                                                                      |   2023 | Springer                                                                                    | Francesco Di Marcantonio, Massimiliano Incudini, Davide Tezza, Michele Grossi                                                                                            | https://doi.org/10.1007/s42484-023-00107-2                                                                                               | QML        |
| Subtleties in the trainability of quantum machine learning models                                                                                                                                             |   2023 | Springer                                                                                    | Supanut Thanasilp, Samson Wang, Nhat Anh Nghiem, Patrick Coles, Marco Cerezo                                                                                             | https://doi.org/10.1007/s42484-023-00103-6                                                                                               | QML        |
| The effect of the processing and measurement operators on the expressive power of quantum models                                                                                                              |   2023 | Springer                                                                                    | Aikaterini (Katerina) Gratsea, Patrick Huembeli                                                                                                                          | https://doi.org/10.1007/s42484-023-00109-0                                                                                               | QML        |
| Estimating the degree of non-Markovianity using variational quantum circuits                                                                                                                                  |   2023 | Springer                                                                                    | Hossein T. Dinani, Diego Tancara, Felipe F. Fanchini, Ariel Norambuena, Raul Coto                                                                                        | https://doi.org/10.1007/s42484-023-00120-5                                                                                               | QML        |
| Quantum Metropolis Solver: a quantum walks approach to optimization problems                                                                                                                                  |   2023 | Springer                                                                                    | Roberto Campos, P. A. M. Casares, M. A. Martin-Delgado                                                                                                                   | https://doi.org/10.1007/s42484-023-00119-y                                                                                               | QML        |
| Multi-level quantum inspired metaheuristics for automatic clustering of hyperspectral images                                                                                                                  |   2023 | Springer                                                                                    | Tulika Dutta, Siddhartha Bhattacharyya, Bijaya Ketan Panigrahi, Ivan Zelinka & Leo Mrsic                                                                                 | https://doi.org/10.1007/s42484-023-00110-7                                                                                               | QML        |
| MAQML: a Meta-approach to Quantum Machine Learning with Accentuated Sample Variations for Unobtrusive Mental Health Monitoring                                                                                |   2023 | Springer                                                                                    | Anupama Padha & Anita Sahoo                                                                                                                                              | https://doi.org/10.1007/s42484-023-00108-1                                                                                               | QML        |
| Quantum pattern recognition on real quantum processing units                                                                                                                                                  |   2023 | Springer                                                                                    | Sreetama Das, Jingfu Zhang, Stefano Martina, Dieter Suter & Filippo Caruso                                                                                               | https://doi.org/10.1007/s42484-022-00093-x                                                                                               | QML        |
| If AI machine cannot think, can QI machine think?—from negative numbers to quantum intelligence for mind-light-matter unity                                                                                   |   2023 | Springer                                                                                    | Wen-Ran Zhang                                                                                                                                                            | https://doi.org/10.1007/s42484-023-00104-5                                                                                               | QML        |
| Converge of coordinate attention boosted YOLOv5 model and quantum dot labeled fluorescent biosensing for rapid detection of the poultry disease                                                               |   2023 | ScienceDirect                                                                               | Yingchao Zhang, Hong Duan, Yuanjie Liu, Yanbin Li, Jianhan Lin                                                                                                           | https://doi.org/10.1016/j.physleta.2023.129097                                                                                           | QML        |
| Quantum Informed Machine-Learning Potentials for Molecular Dynamics Simulations of CO2’s Chemisorption and Diffusion in Mg-MOF-74                                                                             |   2023 | Springer                                                                                    | Bowen ZhengFelipe Lopes OliveiraRodrigo Neumann Barros FerreiraMathias SteinerHendrik HamannGrace X. GuBinquan Luan                                                      | https://doi.org/10.1021/acsnano.2c11102                                                                                                  | QML        |
| Efficient Quantum Algorithm for Nonlinear Reaction–Diffusion Equations and Energy Estimation                                                                                                                  |   2023 | Springer                                                                                    | Jin-Peng Liu, Dong An, Di Fang, Jiasu Wang, Guang Hao Low & Stephen Jordan                                                                                               | https://doi.org/10.1007/s00220-023-04857-9                                                                                               | QML        |
| Optimizing Quantum Classification Algorithms on Classical Benchmark Datasets                                                                                                                                  |   2023 | MDPI                                                                                        | Manuel John ,Julian Schuhmacher, Panagiotis Barkoutsos, vano Tavernelli and Francesco Tacchino                                                                           | https://doi.org/10.3390/e25060860                                                                                                        | QML        |
| An Enhanced Quantum K-Nearest Neighbor Classification Algorithm Based on Polar Distance                                                                                                                       |   2023 | MDPI                                                                                        | Congcong Feng ,Bo Zhao,Xin Zhou,Xiaodong Ding and Zheng Shan                                                                                                             | https://doi.org/10.3390/e25010127                                                                                                        | QML        |
| Quantum Machine Learning—An Overview                                                                                                                                                                          |   2023 | MDPI                                                                                        | Kyriaki A. Tychola,Theofanis Kalampokas and George A. Papakostas                                                                                                         | https://doi.org/10.3390/electronics12112379                                                                                              | QML        |
| Performance Evaluation of Quantum-Based Machine Learning Algorithms for Cardiac Arrhythmia Classification                                                                                                     |   2023 | MDPI                                                                                        | Zeynep Ozpolat and Murat Karabatak                                                                                                                                       | https://doi.org/10.3390/diagnostics13061099                                                                                              | QML        |
| Quantum Machine Learning: A tutorial                                                                                                                                                                          |   2022 | Neurocomputing                                                                              | José D. Martín-Guerrero a, Lucas Lamata                                                                                                                                  | https://www.sciencedirect.com/science/article/pii/S0925231221011000                                                                      | QML        |
| Challenges and opportunities in quantum machine learning                                                                                                                                                      |   2022 | nature computational science                                                                | M. Cerezo, Guillaume Verdon, Hsin-Yuan Huang, Lukasz Cincio & Patrick J. Coles                                                                                           | https://www.nature.com/articles/s43588-022-00311-3                                                                                       | QML        |
| Is Quantum Advantage the Right Goal for Quantum Machine Learning?                                                                                                                                             |   2022 | PRX Quantum 3                                                                               | Maria Schuld and Nathan Killoran                                                                                                                                         | https://journals.aps.org/prxquantum/abstract/10.1103/PRXQuantum.3.030101                                                                 | QML        |
| Quantum machine learning for chemistry and physics                                                                                                                                                            |   2022 | Chem. Soc. Rev                                                                              | Manas Sajjan , Junxu Li                                                                                                                                                  | https://pubs.rsc.org/en/content/articlehtml/2022/cs/d2cs00203e                                                                           | QML        |
| Generalization in quantum machine learning from few training data                                                                                                                                             |   2022 | nature communications                                                                       | Matthias C. Caro, Hsin-Yuan Huang, M. Cerezo, Kunal Sharma, Andrew Sornborger, Lukasz Cincio & Patrick J. Coles                                                          | https://www.nature.com/articles/s41467-022-32550-3                                                                                       | QML        |
| Group-Invariant Quantum Machine Learning                                                                                                                                                                      |   2022 | PRX Quantum                                                                                 | Martín Larocca, Frédéric Sauvage, Faris M. Sbahi, Guillaume Verdon, Patrick J. Coles, and M. Cerezo                                                                      | https://journals.aps.org/prxquantum/abstract/10.1103/PRXQuantum.3.030341                                                                 | QML        |
| An Introduction to Quantum Machine Learning for Engineers                                                                                                                                                     |   2022 | Foundations and Trends® in Signal Processing                                                | Osvaldo Simeone                                                                                                                                                          | https://www.nowpublishers.com/article/Details/SIG-118                                                                                    | QML        |
| Data compression for quantum machine learning                                                                                                                                                                 |   2022 | Phys. Rev. Research 4                                                                       | Rohit Dilip, Yu-Jie Liu, Adam Smith, and Frank Pollmann                                                                                                                  | https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.4.043007                                                            | QML        |
| Representation Theory for Geometric Quantum Machine Learning                                                                                                                                                  |   2022 | arxiv                                                                                       | Michael Ragone, Paolo Braccia, Quynh T. Nguyen, Louis Schatzki, Patrick J. Coles, Frederic Sauvage, Martin Larocca, M. Cerezo                                            | https://arxiv.org/abs/2210.07980                                                                                                         | QML        |
| Importance of kernel bandwidth in quantum machine learning                                                                                                                                                    |   2022 | Phys. Rev. A 106                                                                            | Ruslan Shaydulin and Stefan M. Wild                                                                                                                                      | https://journals.aps.org/pra/abstract/10.1103/PhysRevA.106.042407                                                                        | QML        |
| The Development of Quantum Machine Learning                                                                                                                                                                   |   2022 | Harvard Data Science Review                                                                 | Khadijeh Najafi                                                                                                                                                          | https://assets.pubpub.org/05lwd2lr/5a9fd72c-212a-4a7d-91ba-07219d24359d.pdf                                                              | QML        |
| Quantum Machine Learning Applications in the Biomedical Domain: A Systematic Review                                                                                                                           |   2022 | IEEE Access                                                                                 | Danyal Maheshwari; Begonya Garcia-Zapirain; Daniel Sierra-Sosa                                                                                                           | https://ieeexplore.ieee.org/abstract/document/9844718                                                                                    | QML        |
| Quantum machine-learning for medicinal chemistry                                                                                                                                                              |   2022 | Phys. Chem. Chem. Phys                                                                      | Kenneth Atz, Clemens Isert, Markus N. A. Böcker, José Jiménez-Luna and Gisbert Schneider                                                                                 | https://pubs.rsc.org/en/content/articlehtml/2022/cp/d2cp00834c                                                                           | QML        |
| Quantum Embedding Search for Quantum Machine Learning                                                                                                                                                         |   2022 | IEEE Access                                                                                 | Nam Nguyen; Kwang-Cheng Chen                                                                                                                                             | https://ieeexplore.ieee.org/abstract/document/9757160                                                                                    | QML        |
| Quantum machine learning with subspace states                                                                                                                                                                 |   2022 | arxiv                                                                                       | Iordanis Kerenidis, Anupam Prakash                                                                                                                                       | https://arxiv.org/abs/2202.00054                                                                                                         | QML        |
| Quantum Machine Learning for b-jet charge identification                                                                                                                                                      |   2022 | Journal of High Energy Physics                                                              | Alessio Gianelle, Patrick Koppenburg, Donatella Lucchesi, Davide Nicotra, Eduardo Rodrigues, Lorenzo Sestini, Jacco de Vries & Davide Zuliani                            | https://link.springer.com/article/10.1007/JHEP08(2022)014                                                                                | QML        |
| A Comprehensive Survey on Quantum Machine Learning and Possible Applications                                                                                                                                  |   2022 | International Journal of E-Health and Medical Communications (IJEHMC)                       | Muhammad Junaid Umer, Muhammad Imran Sharif                                                                                                                              | https://www.igi-global.com/article/a-comprehensive-survey-on-quantum-machine-learning-and-possible-applications/315730                   | QML        |
| Comparative performance analysis of quantum machine learning with deep learning for diabetes prediction                                                                                                       |   2022 | Complex & Intelligent Systems                                                               | Himanshu Gupta, Hirdesh Varshney, Tarun Kumar Sharma, Nikhil Pachauri & Om Prakash Verma                                                                                 | https://link.springer.com/article/10.1007/s40747-021-00398-7                                                                             | QML        |
| Machine learning in the quantum realm: The state-of-the-art, challenges, and future vision                                                                                                                    |   2022 | Expert Systems with Applications                                                            | Essam H. Houssein a, Zainab Abohashima b, Mohamed Elhoseny c d, Waleed M. Mohamed                                                                                        | https://www.sciencedirect.com/science/article/abs/pii/S0957417422000136                                                                  | QML        |
| Quantum-machine-learning channel discrimination                                                                                                                                                               |   2022 | Phys. Rev. A 106                                                                            | A. S. Kardashin, A. V. Vlasova, A. A. Pervishko, D. Yudin, and J. D. Biamonte                                                                                            | https://journals.aps.org/pra/abstract/10.1103/PhysRevA.106.032409                                                                        | QML        |
| BIGDML—Towards accurate quantum machine learning force fields for materials                                                                                                                                   |   2022 | nature communications                                                                       | Huziel E. Sauceda, Luis E. Gálvez-González, Stefan Chmiela, Lauro Oliver Paz-Borbón, Klaus-Robert Müller & Alexandre Tkatchenko                                          | https://www.nature.com/articles/s41467-022-31093-x                                                                                       | QML        |
| Quantum Machine Learning in Finance: Time Series Forecasting                                                                                                                                                  |   2022 | arxiv                                                                                       | Dimitrios Emmanoulopoulos, Sofija Dimoska                                                                                                                                | https://arxiv.org/abs/2202.00599                                                                                                         | QML        |
| On establishing learning separations between classical and quantum machine learning with classical data                                                                                                       |   2022 | arxiv                                                                                       | Casper Gyurik, Vedran Dunjko                                                                                                                                             | https://arxiv.org/abs/2208.06339                                                                                                         | QML        |
| Qsun: an open-source platform towards practical quantum machine learning applications                                                                                                                         |   2022 | Machine Learning: Science and Technology                                                    | Quoc Chuong Nguyen5,1, Le Bin Ho, Lan Nguyen Tran2 and Hung Q Nguyen                                                                                                     | https://iopscience.iop.org/article/10.1088/2632-2153/ac5997/meta                                                                         | QML        |
| Challenges and opportunities in quantum machine learning for high-energy physics                                                                                                                              |   2022 | Nature Reviews Physics                                                                      | Sau Lan Wu & Shinjae Yoo                                                                                                                                                 | https://www.nature.com/articles/s42254-022-00425-7                                                                                       | QML        |
| Retrieving information from a black hole using quantum machine learning                                                                                                                                       |   2022 | Phys. Rev. A 106                                                                            | Lorenzo Leone, Salvatore F. E. Oliviero, Stefano Piemontese, Sarah True, and Alioscia Hamma                                                                              | https://journals.aps.org/pra/abstract/10.1103/PhysRevA.106.062434                                                                        | QML        |
| Matrix product state pre-training for quantum machine learning                                                                                                                                                |   2022 | Quantum Science and Technology                                                              | James Dborin, Fergus Barratt, Vinul Wimalaweera, Lewis Wright and Andrew G Green                                                                                         | https://iopscience.iop.org/article/10.1088/2058-9565/ac7073/meta                                                                         | QML        |
| An orbital-based representation for accurate quantum machine learning                                                                                                                                         |   2022 | The Journal of Chemical Physics                                                             | Konstantin Karandashev; O. Anatole von Lilienfeld                                                                                                                        | https://pubs.aip.org/aip/jcp/article-abstract/156/11/114101/2840879/An-orbital-based-representation-for-accurate?redirectedFrom=fulltext | QML        |
| Quantum Machine Learning Approach for Studying Atmospheric Cluster Formation                                                                                                                                  |   2022 | Environmental Science & Technology Letters                                                  | Jakub Kubečka, Anders S. Christensen, Freja Rydahl Rasmussen,, Jonas Elm                                                                                                 | https://pubs.acs.org/doi/abs/10.1021/acs.estlett.1c00997                                                                                 | QML        |
| Overfitting in quantum machine learning and entangling dropout                                                                                                                                                |   2022 | Quantum Machine Intelligence                                                                | Masahiro Kobayashi, Kouhei Nakaji & Naoki Yamamoto                                                                                                                       | https://link.springer.com/article/10.1007/s42484-022-00087-9                                                                             | QML        |
| Sampling-based Sublinear Low-rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning                                                                                                       |   2022 | Journal of the ACM                                                                          | Nai-Hui Chia, András Pal Gilyén, Tongyang Li, Han-Hsuan Lin, Ewin Tang, Chunhao WangAuthors Info & Claims                                                                | https://dl.acm.org/doi/abs/10.1145/3549524                                                                                               | QML        |
| Verifying Fairness in Quantum Machine Learning (Book)                                                                                                                                                         |   2022 | Computer Aided Verification                                                                 | Ji Guan, Wang Fang & Mingsheng Ying                                                                                                                                      | https://link.springer.com/chapter/10.1007/978-3-031-13188-2_20                                                                           | QML        |
| Quantum Machine Learning in Drug Discovery: Current State and Challenges                                                                                                                                      |   2022 | PCI '22: Proceedings of the 26th Pan-Hellenic Conference on Informatics                     | Maria Avramouli, Ilias Savvas, Anna Vasilaki, Georgia Garani, Apostolos Xenakis & Claims                                                                                 | https://dl.acm.org/doi/abs/10.1145/3575879.3576024                                                                                       | QML        |
| A Preprocessing Perspective for Quantum Machine Learning Classification Advantage in Finance Using NISQ Algorithms                                                                                            |   2022 | Quantum Machine Learning 2022                                                               | Javier Mancilla and Christophe Pere                                                                                                                                      | https://www.mdpi.com/1099-4300/24/11/1656                                                                                                | QML        |
| Unsupervised quantum machine learning for fraud detection                                                                                                                                                     |   2022 | arxiv                                                                                       | Oleksandr Kyriienko, Einar B. Magnusson                                                                                                                                  | https://arxiv.org/abs/2208.01203                                                                                                         | QML        |
| Study of Feature Importance for Quantum Machine Learning Models                                                                                                                                               |   2022 | arxiv                                                                                       | Aaron Baughman, Kavitha Yogaraj, Raja Hebbar, Sudeep Ghosh, Rukhsan Ul Haq, Yoshika Chhabra                                                                              | https://arxiv.org/abs/2202.11204                                                                                                         | QML        |
| Noise-Resilient Quantum Machine Learning for Stability Assessment of Power Systems                                                                                                                            |   2022 | IEEE Transactions on Power Systems                                                          | Yifan Zhou; Peng Zhang                                                                                                                                                   | https://ieeexplore.ieee.org/abstract/document/9737359                                                                                    | QML        |

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## 🔗 Cross-References
- [Quantum Computing Fundamentals](https://github.com/Q-brain/awesome-QAI-Papers-QComputing)  
- [Quantum Machine Learning](https://github.com/Q-brain/awesome-QAI-Papers-QML)  
- [Quantum Neural Networks and Quantum Recurrent Neural Networks](https://github.com/Q-brain/awesome-QAI-Papers-QNN-QRNN)  
- [Quantum Convolutional Neural Networks](https://github.com/Q-brain/awesome-QAI-Papers-QCNN)  
- [Quantum Reinforcement Learning](https://github.com/Q-brain/awesome-QAI-Papers-QRL)  
- [Quantum Generative Models](https://github.com/Q-brain/awesome-QAI-Papers-QGenerative)  
- [Quantum Diffusion Models](https://github.com/Q-brain/awesome-QAI-Papers-QDiffusion)  
- [Quantum Graph Learning](https://github.com/Q-brain/awesome-QAI-Papers-QGraph)  
- [Quantum Natural Language Processing](https://github.com/Q-brain/awesome-QAI-Papers-QText)  
- [Quantum Transfer Learning](https://github.com/Q-brain/awesome-QAI-Papers-QTL)

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## 🤝 Contributions
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1. Correct metadata (title, year, authors, publisher, link)  
2. Category tag (`QML`)  
3. Optional short summary of the contribution

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