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 769-780 of 4,297

Leveraging Time Series Foundation Models to Detect Performance Anomalies in Software Systems

Federico Di Menna, Luca Traini, Vittorio Cortellessa

2026 Crossref Companion of the 17th ACM/SPEC International Conference on Performance Engineering

LFaB: Low Fidelity as Bias for Active Learning in the Chemical Configuration Space.

Vinod V, Zaspel P

2026 PubMed Journal of chemical theory and computation

Lie-Algebraic Analysis of Generators: Approximation-Error Bounds and Barren-Plateau Heuristics

Hiroshi Ohno

2026 arXiv arXiv preprint

Lie-Group Mode Connectivity in Quantum Machine Learning from a Dynamical Lie Algebra Perspective

Hiroshi Ohno

2026 arXiv arXiv preprint

Light cone cancellation for variational quantum eigensolver in solving noisy Max-Cut.

Lee X, Yan X, Xie N, Saito Y, Kurosawa L, Asai N, Cai D, Lau HC.

2026 Europe PMC Sci Rep

Light-addressable sandwich photoelectrochemical immunosensor array and lateral flow immunoassays with self-calibration using quantum dots-sensitized and porphyrin-engineered MOFs for accurate detection of amyloid β-proteins.

Wang L, Niu J, Chen X, Zhu Y, Hou X

2026 PubMed Biosensors & bioelectronics

Light-Weight Quantum Binary Image Classifier

Nagy M.

2026 Europe PMC Europe PMC

Lightweight quantum recurrent neural networks for time-series and dynamical systems

Yuan Chen, Abdul Khaliq

2026 Crossref Applied Soft Computing

Lightweight Quantum-Enhanced ResNet for Coronary Angiography Classification: A Hybrid Quantum-Classical Feature Enhancement Framework

Jingsong Xia

2026 arXiv arXiv preprint

Limitations and Potentials of Quantum Computing for InSAR Phase Unwrapping

Glatting, Kay, Meyer, Jan, Huber, Sigurd, Krieger, Gerhard

2026 OpenAlex elib (German Aerospace Center)

LLM-Guided Evolutionary Search for Algebraic T-Count Optimization

Daniil Fisher, Valentin Khrulkov, Mikhail Saygin, Ivan Oseledets, Stanislav Straupe

2026 arXiv arXiv preprint

Local and Multi-Scale Strategies to Mitigate Exponential Concentration in Quantum Kernels

Claudia Zendejas-Morales, Debashis Saikia, Utkarsh Singh

2026 arXiv arXiv preprint