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 829-840 of 4,297

Machine-learning-enabled solvent engineering for uniform quantum dot packing in efficient and stable quantum-dot light-emitting diodes.

Chun B, Kim BJ, Kim H, Song JH, Kim Y, Lim J, Kwak J

2026 PubMed Reports on progress in physics. Physical Society (Great Britain)

MAG-Q: Multi-agent Actor-Critic based GRL with Quantum inspired Forwarding for Enhanced Task Offloading in Clustered Fog Computing environment

Nilesh Kumar Verma, K. Jairam Naik

2026 Crossref Expert Systems with Applications

Magnitude Is All You Need? Rethinking Phase in Quantum Encoding of Complex SAR Data

Sakthi Prabhu Gunasekar, Prasanna Kumar R

2026 arXiv arXiv preprint

MAPS: A Novel Multi-Axial Projective Sphere for Geometrically Visualizing Higher d-Valued Quantum State-Space of Qudits

Ali Al-Bayaty

2026 arXiv arXiv preprint

Margin-Based Generalisation Bounds for Quantum Kernel Methods under Local Depolarising Noise

Saarisha Govender, Ilya Sinayskiy

2026 arXiv arXiv preprint

Mathematical modeling and feature extraction architecture of a quantum-inspired attention network for UAV image classification

Hanaa Abu-Zinadah, Sayed Abdel-Khalek

2026 Crossref Alexandria Engineering Journal

Maximizing the non-demolition nature of a quantum measurement via an adaptive readout protocol

Anonymous

2026 Crossref PRX Quantum

McLachlan-projected reduced dynamics for ill-posed Schrödingerized backward diffusion

Jeongbin Jo

2026 arXiv arXiv preprint

MCMit: Mid-Circuit Measurement Error Mitigation

Emmanouil Giortamis, Felix Gust, Aleksandra Świerkowska, Sandra Stankovic, Innocenzo Fulginiti, Yanbin Chen, Xiaorang Guo, Benjamin Lienhard, Martin Schulz, Pramod Bhatotia

2026 arXiv arXiv preprint

Measurement-Efficient Variational Quantum Linear Solver for Carleman-Linearized Nonlinear Dynamics

Yunya Liu, Pai Wang

2026 arXiv arXiv preprint

Mechanism research and process design for the separation of dimethyl carbonate and n-propanol by extractive distillation using ionic liquid.

Sun C, Peng B, Xue F, Cui P, Li G, Wang Y

2026 PubMed Journal of environmental management

Mechanism-aware analysis of Cu-doped CoCr2O4 via machine learning and quantum-inspired electrochemical methods

Ming-Kang Ho, Shih-Lung Yu, Yi-En Wu, Wei-Che Lo, Tsu-En Hsu, Hai Yen Thi Nguyen, K. Manjunatha, H. Nagabhushana, Meng-Chu Chen, Sheng Yun Wu

2026 Crossref Journal of Energy Storage