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.

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All sources 3957 arXiv preprints 2660 Crossref 606 OpenAlex 30 Europe PMC 290 PubMed 285 DOAJ 86

Showing 2389-2400 of 3,957

Bose-Einstein condensation by polarization gradient laser cooling

Wenchao Xu, Tamara Šumarac, Emily H. Qiu, Matthew L. Peters, Sergio H. Cantú, Zeyang Li, Adrian J. Menssen, Mikhail D. Lukin, Simone Colombo, Vladan Vuletić

2023 arXiv arXiv preprint

Bridging Actuarial Science and Quantum Machine Learning: Applications in Health Insurance

Senior Researcher, Data Science Laboratory, ETH Zurich, Michael Brown

2023 Crossref Artificial Intelligence, Quantum Computing, Robotics, Science and Technology Journal

Bridging the Gap Between Quantum Computing and Artificial Intelligence

Pratik Manoj Thakare

2023 Crossref INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT

CAMEL: Physically Inspired Crosstalk-Aware Mapping and gatE scheduLing for Frequency-Tunable Quantum Chips

Bin-han Lu, Peng Wang, Zhao-yun Chen, Huan-yu Liu, Tai-ping Sun, Peng Duan, Yu-chun Wu, Guo-ping Guo

2023 arXiv arXiv preprint

Capacity Enhancement of n-GHZ State Super-dense Coding Channels by Purification and Quantum Neural Network

Rong Zhang, Xiaoguang Chen, Yaoyao Wang, Bin Lu

2023 arXiv arXiv preprint

Catalysis of quantum tunneling by ancillary system learning

Renzo Testa, Alex Rodriguez, Alberto d'Onofrio, Andrea Trombettoni, Fabio Benatti, Fabio Anselmi

2023 arXiv arXiv preprint

Centimeter-scale nanomechanical resonators with low dissipation

Andrea Cupertino, Dongil Shin, Leo Guo, Peter G. Steeneken, Miguel A. Bessa, Richard A. Norte

2023 arXiv arXiv preprint

Certainty In, Certainty Out: REVQCs for Quantum Machine Learning

Hannah Helgesen, Michael Felsberg, Jan-Åke Larsson

2023 arXiv arXiv preprint

Challenges for Reinforcement Learning in Quantum Circuit Design

Philipp Altmann, Jonas Stein, Michael Kölle, Adelina Bärligea, Thomas Gabor, Thomy Phan, Sebastian Feld, Claudia Linnhoff-Popien

2023 arXiv arXiv preprint

Charged particle reconstruction for future high energy colliders with Quantum Approximate Optimization Algorithm

Hideki Okawa

2023 arXiv arXiv preprint

Classical and quantum reservoir computing: development and applications in machine learning

Laia Domingo

2023 arXiv arXiv preprint

Classification of dynamical Lie algebras for translation-invariant 2-local spin systems in one dimension

Roeland Wiersema, Efekan Kökcü, Alexander F. Kemper, Bojko N. Bakalov

2023 arXiv arXiv preprint
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