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.

Showing 709-720 of 3,957

Non-Unitary Quantum Machine Learning: Fisher Efficiency Transitions from Distributed Quantum Expressivity

Apoorv Kumar Masta, Srinjoy Ganguly, Shalini Devendrababu, Farina Riaz, Rajib Rana, Björn Schuller

2026 arXiv arXiv preprint

Non-variational supervised quantum kernel methods: a review

John Tanner, Chon-Fai Kam, Jingbo Wang

2026 arXiv arXiv preprint

Novel Acousto-Optic Sensor for Needle Tip Tracking and Internal Ultrasound Imaging from the Tip for Biopsy and Thermal Ablation.

Saccenti L, Li M, Hazen L, Clark M, Gallagher A, Kassin M, Mikhail A, Pritchard WF, Karanian JW, Wood BJ

2026 PubMed Journal of vascular and interventional radiology : JVIR

NQ-SVM: Scalable Quantum Kernel Learning via Nyström-Based Support Vector Machines

Do DT, Thudumu S, Jayaraman PP, Nguyen DT.

2026 Europe PMC Europe PMC

NVRNet: Deep Learning Model for Fast Nitrogen Vacancy Characterization under Room Temperature

Chao Shang, Gregory D. Fuchs

2026 arXiv arXiv preprint

Observable-Guided Generator Selection for Improving Trainability in Quantum Machine Learning with a $ \mathfrak{g} $-Purity Interpretation under Restricted Settings

Hiroshi Ohno

2026 arXiv arXiv preprint

Observation of associative-memory retrieval and spin-glass phases on a photonic quantum simulator

Taira Giordani, Gennaro Zanfardino, Luca Leuzzi, Enrico Bonfissuto, Eugenio Caruccio, Gabriele Gasbarri, Mattia Bossi, Abhiram Rajan, Riccardo Albiero, Francesco Ceccarelli, Nicolò Spagnolo, Raffaele Santagati, Stefano Paesani, Marco Leonetti, Roberto Osellame, Giorgio Parisi, Giancarlo Ruocco, Fabrizio Illuminati, Fabio Sciarrino

2026 arXiv arXiv preprint

Off-line quantum-advantage feature extraction for industrial production

Carlos Flores-Garrigos, Gabriel D. Alvarado Barrios, Qi Zhang, Anton Simen, Enrique Solano

2026 arXiv arXiv preprint

On Best-Possible One-Time Programs

Aparna Gupte, Jiahui Liu, Luowen Qian, Justin Raizes, Bhaskar Roberts, Mark Zhandry

2026 arXiv arXiv preprint

On measurement-dependent variance in quantum neural networks

Andrey Kardashin, Konstantin Antipin

2026 arXiv arXiv preprint

On Quantum Learning Advantage Under Symmetries

Tuyen Nguyen, Mária Kieferová, Amira Abbas

2026 arXiv arXiv preprint

On the average-case complexity of learning states from the circular and Gaussian ensembles

Maxwell West

2026 arXiv arXiv preprint