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.

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All sources 4297 arXiv preprints 2828 Crossref 713 OpenAlex 30 Europe PMC 290 PubMed 348 DOAJ 88

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Showing 745-756 of 4,297

Leakage Detection Using Probabilistic Neural Networks and Model-Based Localization Using Quantum Genetic Algorithms in Real Water Supply Networks

Yihong Guan, Wei Zhang, Mou Lv, Lingzhi Cui, Peng Qiao, Huan Zhao, Hang Li

2026 Crossref Journal of Pipeline Systems Engineering and Practice

Learning at the Edge of Causality: Optimal Learning-Sample Complexity from No-Signaling Constraints

Jeongho Bang, Kyoungho Cho, Jeongwoo Jae

2026 arXiv arXiv preprint

Learning Better Error Correction Codes with Hybrid Quantum-Assisted Machine Learning

Yariv Yanay

2026 arXiv arXiv preprint

Learning encodings by maximizing state distinguishability: variational quantum error correction

Nico Meyer, Christopher Mutschler, Andreas Maier, Daniel D Scherer

2026 Crossref Quantum Science and Technology

Learning fermionic linear optics with Heisenberg scaling and physical operations

Aria Christensen, Andrew Zhao

2026 arXiv arXiv preprint

Learning from imperfect quantum data via unsupervised domain adaptation with classical shadows

Kosuke Ito, Akira Tanji, Hiroshi Yano, Yudai Suzuki, Naoki Yamamoto

2026 arXiv arXiv preprint

Learning functions of quantum states with distributed architectures

Marta Gili, Eliana Fiorelli, Ane Blázquez-García, Gian Luca Giorgi, Roberta Zambrini

2026 arXiv arXiv preprint

Learning ground state observables from quantum computing experiments

Ben Jaderberg, Freya Shah, Minjun Jeon, M. Emre Sahin, Christa Zoufal, Kunal Sharma

2026 arXiv arXiv preprint

Learning Hamiltonians in the Heisenberg limit with static single-qubit fields

Shrigyan Brahmachari, Shuchen Zhu, Iman Marvian, Yu Tong

2026 arXiv arXiv preprint

Learning high-dimensional quantum entanglement through physics-guided neural networks

Yang Xu, Hao Zhang, Wenwen Zhang, Luchang Niu, Girish Kulkarni, Mahtab Amooei, Sergio Carbajo, Robert W. Boyd

2026 arXiv arXiv preprint

Learning Inhomogeneous Heisenberg Hamiltonians in Nanographene Spin Chains

Greta Lupi, Saketh Ravuri, Chenxiao Zhao, Weidan Zhang, Cesare Roncaglia, Renxiang Liu, Xinliang Feng, Daniele Passerone, Pascal Ruffieux, Roman Fasel, Jose L. Lado, Gonçalo Catarina

2026 arXiv arXiv preprint

Learning Non-Markovian Noise via Ensemble Optimal Control

Da-Wei Luo, Ting Yu

2026 arXiv arXiv preprint

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