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 337-348 of 416

RETRACTED ARTICLE:3D motion trajectory prediction based on optical image remote sensing data in sports training simulation

Zhiquan Tian, Feng Dong, Dongbin Li, Chenfeng Liu

2023 Crossref Optical and Quantum Electronics

Robotics, Autonomous Vehicles, Data Science, and Quantum Neural Networks for Future Growth

Lecturer, School of Artificial Intelligence, University of Cambridge, Christopher White

2023 Crossref Stem Cell, Artificial Intelligence and Data Science Journal

Sample-efficient estimation of entanglement entropy through supervised learning

Maximilian Rieger, Moritz Reh, Martin Gärttner

2023 arXiv arXiv preprint

SantaQlaus: A resource-efficient method to leverage quantum shot-noise for optimization of variational quantum algorithms

Kosuke Ito, Keisuke Fujii

2023 arXiv arXiv preprint

Scalable machine learning-assisted clear-box characterization for optimally controlled photonic circuits

Andreas Fyrillas, Olivier Faure, Nicolas Maring, Jean Senellart, Nadia Belabas

2023 arXiv arXiv preprint

Scalable quantum measurement error mitigation via conditional independence and transfer learning

ChangWon Lee, Daniel K. Park

2023 arXiv arXiv preprint

Scattering with Neural Operators

Sebastian Mizera

2023 arXiv arXiv preprint

Securing healthcare big data in industry 4.0: cryptography encryption with hybrid optimization algorithm for IoT applications

Chandrashekhar Goswami, P. Tamil Selvi, Velagapudi Sreenivas, J. Seetha, Ajmeera Kiran, Vamsidhar Talasila, K. Maithili

2023 Crossref Optical and Quantum Electronics

Self-Adaptive Physics-Informed Quantum Machine Learning for Solving Differential Equations

Abhishek Setty, Rasul Abdusalamov, Felix Motzoi

2023 arXiv arXiv preprint

Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel

Kilian Tscharke, Sebastian Issel, Pascal Debus

2023 arXiv arXiv preprint

Sequence Processing with Quantum Tensor Networks

Carys Harvey, Richie Yeung, Konstantinos Meichanetzidis

2023 arXiv arXiv preprint

Several fitness functions and entanglement gates in quantum kernel generation

Haiyan Wang

2023 arXiv arXiv preprint
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