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 1633-1644 of 4,297

Validation of QuANTUM-derived tumor cell fraction for molecular testing in high-grade serous tubo-ovarian carcinoma.

Alviano AM, Pagni F, Seminati D, Casati G, Jaconi M, Fruscio R, De Leo A, Maloberti T, L'Imperio V, De Biase D, Cazzaniga G

2026 PubMed NPJ precision oncology

Valorizing banana peel into carbon dots via pyrolysis: CCD optimization and machine learning prediction of fluorescent properties.

Nguyen DHH, Prokisch J

2026 PubMed Food chemistry

Variational Quantum Physics-Informed Neural Networks for Hydrological PDE-Constrained Learning with Inherent Uncertainty Quantification

Prasad Nimantha Madusanka Ukwatta Hewage, Midhun Chakkravarthy, Ruvan Kumara Abeysekara

2026 arXiv arXiv preprint

Verifiable Sampling for Delegated Generative Quantum Machine Learning

Matteo Inajetovic, Anna Pappa, Petros Wallden

2026 arXiv arXiv preprint

Verifying Adversarial Robustness in Quantum Machine Learning: from theory to physical validation via a software tool

Ji Guan, Mingsheng Ying

2026 arXiv arXiv preprint

Visual-to-Code Authoring, Tensor-Network Debugging, and Quantum-Circuit Inspection Tools in Python

Alejandro Mata Ali

2026 arXiv arXiv preprint

VQCSim: When Does Compile-Once Statevector Simulation Beat Generic Quantum Frameworks?

Anton Firc, Martin Perešíni, Vojtěch Mrázek, Kamil Malinka, Vojtěch Staněk, Zbyněk Lička, Nouhaila Innan, Walid El Maouaki, Alberto Marchisio, Muhammad Shafique

2026 arXiv arXiv preprint

VQEzy: An Open-Source Dataset for Parameter Initialization in Variational Quantum Eigensolvers

Chi Zhang, Mengxin Zheng, Qian Lou, Hui Min Leung, Fan Chen

2026 Crossref ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Wavelet Variance Equipartition as a Threshold for World-Model Quality and Quantum Kernel TN-Simulability

Chon-Fai Kam, Xavier Cadet, Miloud Bessafi, Frederic Cadet

2026 arXiv arXiv preprint

Weak forms offer strong regularisations: how to make physics-informed (quantum) machine learning more robust

Annie E. Paine, Smit Chaudhary, Antonio A. Gentile

2026 arXiv arXiv preprint

What quantum computer to buy?

Alex Krasnok

2026 arXiv arXiv preprint

When cheap gradients fail: the measurement cost of attacking quantum classifiers

Bacui Li, Chandra Thapa, Tansu Alpcan, Udaya Parampalli

2026 arXiv arXiv preprint