Quantum Machine Learning

416 papers for year 2023

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Showing 61-72 of 416

Blind quantum machine learning with quantum bipartite correlator

Changhao Li, Boning Li, Omar Amer, Ruslan Shaydulin, Shouvanik Chakrabarti, Guoqing Wang, Haowei Xu, Hao Tang, Isidor Schoch, Niraj Kumar, Charles Lim, Ju Li, Paola Cappellaro, Marco Pistoia

2023 arXiv arXiv preprint

Blockchain, AI and Quantum Networks: A Tri-Layer Model for Secure Transactions in Finance and Healthcare

Assistant Professor, Department of Robotics Engineering, Carnegie Mellon University, United States, Sarah Williams

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

Boosting Defect Detection in Manufacturing using Tensor Convolutional Neural Networks

Pablo Martin-Ramiro, Unai Sainz de la Maza, Sukhbinder Singh, Roman Orus, Samuel Mugel

2023 arXiv arXiv preprint

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
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