Quantum Machine Learning

3,957 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 3957 arXiv preprints 2660 Crossref 606 OpenAlex 30 Europe PMC 290 PubMed 285 DOAJ 86

Showing 589-600 of 3,957

Large-Scale Efficient Molecule Geometry Optimization with Hybrid Quantum-Classical Computing.

Hao Y, Ding Q, Wang X, Yuan X.

2026 Europe PMC J Chem Theory Comput

Large-Scale Quantum Kernels for Hyperspectral Data Classification

A. Delilbasic, A. Miroszewski, A. Wijata, J. Nalepa, J. Mielczarek, M. Riedel, G. Cavallaro

2026 arXiv arXiv preprint

Late Breaking Results: Hardware-Efficient Quantum Reservoir Computing via Quantized Readout

Param Pathak, Mansi Od, Nouhaila Innan, Muhammad Shafique

2026 arXiv arXiv preprint

Latent-Conditioned Parameterized Quantum Circuits as Universal Approximators for Distributions over Quantum States

Quoc Hoan Tran, Koki Chinzei, Yasuhiro Endo, Hirotaka Oshima

2026 arXiv arXiv preprint

Layer-wise QUBO-Based Training of CNN Classifiers for Quantum Annealing

Mostafa Atallah, Rebekah Herrman

2026 arXiv arXiv preprint

Layered Quantum Architecture Search for 3D Point Cloud Classification

Natacha Kuete Meli, Jovita Lukasik, Vladislav Golyanik, Michael Moeller

2026 arXiv arXiv preprint

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 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
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