Quantum Machine Learning

4,297 papers

Quantum Machine Learning Research Context

This category covers quantum machine learning research, including quantum kernels, variational classifiers, hybrid learning systems, generative models, and QML benchmarks.

Showing 349-360 of 4,297

Data-Driven Quantification of Quantum k-Entanglement via Machine Learning.

Guo J, Hou J, Qi X, He K

2026 PubMed Entropy (Basel, Switzerland)

Data-Driven Qubit Characterization and Optimal Control using Deep Learning

Paul Surrey, Julian D. Teske, Tobias Hangleiter, Hendrik Bluhm, Pascal Cerfontaine

2026 arXiv arXiv preprint

Decoder Performance in Hybrid CV-Discrete Surface-Code Threshold Estimation Using LiDMaS+

Dennis Delali Kwesi Wayo, Chinonso Onah, Vladimir Milchakov, Leonardo Goliatt, Sven Groppe

2026 arXiv arXiv preprint

Decoding d- and l-Amino Acids: Data-Driven Recognition of Enantiomers and Post-Translational Modifications via Quantum Tunneling.

Mittal S, Jena MK, Pathak B

2026 PubMed The journal of physical chemistry letters

Decoupling the Dual Impact of NISQ Noise on Quantum Adversarial Robustness

Haoran Wang, Shaoliang Ye, Shaowei Wang, Hanyi Wang, Zhenbo Shi, Wei Yang

2026 Crossref Entropy

Decrypting chaotic visual ciphers via quasi quantum neural networks (Q²NNs).

Manavalan G, Arnon S.

2026 Europe PMC Sci Rep

Deep eutectic solvent density prediction: Machine learning from quantum chemical descriptors reveals electronic and stoichiometric controls

Udayakumar Mani, Lavanya Priyadarshini Ramalingam, Senthilkumar Rathinasamy

2026 Crossref Journal of Molecular Liquids

Deep Learning Approaches to Quantum Error Mitigation

Leonardo Placidi, Ifan Williams, Enrico Rinaldi, Daniel Mills, Cristina Cîrstoiu, Vanya Eccles, Ross Duncan

2026 arXiv arXiv preprint

Deep learning parameter estimation and quantum control of single molecule

Juan M. Scarpetta, Omar Calderón-Losada, Morten Hjorth-Jensen, John H. Reina

2026 arXiv arXiv preprint

Deep learning-based compensation of beam wander and polarization fluctuations for free-space quantum communication

Gibeen Gu, Hyeokin Kang, Taewon Kim, Jeonghun Seong, Young-Jin Kim

2026 Crossref Free-Space Laser Communications XXXVIII

Deep Neural Network-Based prediction of electronic and optical properties in CdSe/CdS quantum wells

Adel Bouazra, Safa Maamria

2026 Crossref Solid State Communications

DeepMech: a machine learning framework for chemical reaction mechanism prediction.

Das M, Hoque A, Baranwal M, Sunoj RB

2026 PubMed Chemical science