Quantum Machine Learning

416 papers for year 2023

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 416 arXiv preprints 328 Crossref 63 Europe PMC 15 PubMed 2 DOAJ 8

Showing 301-312 of 416

Quantum-enhanced greedy combinatorial optimization solver.

Dupont M, Evert B, Hodson MJ, Sundar B, Jeffrey S, Yamaguchi Y, Feng D, Maciejewski FB, Hadfield S, Alam MS, Wang Z, Grabbe S, Lott PA, Rieffel EG, Venturelli D, Reagor MJ.

2023 Europe PMC Sci Adv

Quantum-enhanced policy iteration on the example of a mountain car

Egor E. Nuzhin, Dmitry Yudin

2023 arXiv arXiv preprint

Quantum-Inspired Machine Learning: a Survey

Larry Huynh, Jin Hong, Ajmal Mian, Hajime Suzuki, Yanqiu Wu, Seyit Camtepe

2023 arXiv arXiv preprint

Quantum-Inspired Neural Network Model of Optical Illusions

Ivan S. Maksymov

2023 arXiv arXiv preprint

Quantum-Noise-Driven Generative Diffusion Models

Marco Parigi, Stefano Martina, Filippo Caruso

2023 arXiv arXiv preprint

Quantum-Secure Hybrid Blockchain System for DID-Based Verifiable Random Function with NTRU Linkable Ring Signature

Bong Gon Kim, Dennis Wong, Yoon Seok Yang

2023 Crossref International Journal on Cryptography and Information Security

QUAVER: Quantum Unfoldment through Visual Engagement and Storytelling Resources

Ishan Shivansh Bangroo, Samia Amir

2023 arXiv arXiv preprint

Qudit Machine Learning

Sebastián Roca-Jerat, Juan Román-Roche, David Zueco

2023 arXiv arXiv preprint

Quid Manumit -- Freeing the Qubit for Art

Mark Carney

2023 arXiv arXiv preprint

QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers

Daniel Silver, Tirthak Patel, Devesh Tiwari

2023 arXiv arXiv preprint

Radio Signal Classification by Adversarially Robust Quantum Machine Learning

Yanqiu Wu, Eromanga Adermann, Chandra Thapa, Seyit Camtepe, Hajime Suzuki, Muhammad Usman

2023 arXiv arXiv preprint

Randomised benchmarking for characterizing and forecasting correlated processes

Xinfang Zhang, Zhihao Wu, Gregory A. L. White, Zhongcheng Xiang, Shun Hu, Zhihui Peng, Yong Liu, Dongning Zheng, Xiang Fu, Anqi Huang, Dario Poletti, Kavan Modi, Junjie Wu, Mingtang Deng, Chu Guo

2023 arXiv arXiv preprint
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