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.

Showing 2377-2388 of 3,957

Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK

Florian J. Kiwit, Marwa Marso, Philipp Ross, Carlos A. Riofrío, Johannes Klepsch, Andre Luckow

2023 arXiv arXiv preprint

Approximately Equivariant Quantum Neural Network for $p4m$ Group Symmetries in Images

Su Yeon Chang, Michele Grossi, Bertrand Le Saux, Sofia Vallecorsa

2023 arXiv arXiv preprint

Approximation algorithms for noncommutative CSPs

Eric Culf, Hamoon Mousavi, Taro Spirig

2023 arXiv arXiv preprint

Bayesian Modelling Approaches for Quantum States -- The Ultimate Gaussian Process States Handbook

Yannic Rath

2023 arXiv arXiv preprint

Benchmarking machine learning models for quantum state classification

Edoardo Pedicillo, Andrea Pasquale, Stefano Carrazza

2023 arXiv arXiv preprint

Benchmarking of universal qutrit gates

David Amaro-Alcalá, Barry C. Sanders, Hubert de Guise

2023 arXiv arXiv preprint

Benefits of Open Quantum Systems for Quantum Machine Learning

María Laura Olivera-Atencio, Lucas Lamata, Jesús Casado-Pascual

2023 arXiv arXiv preprint

Bit Flipping Key Encapsulation for the Post-Quantum Era

Mohammad Reza Nosouhi, Syed Wajid Ali Shah, Lei Pan, Robin Doss

2023 DOAJ IEEE Access

Black-Litterman Portfolio Optimization with Noisy Intermediate-Scale Quantum Computers

Chi-Chun Chen, San-Lin Chung, Hsi-Sheng Goan

2023 arXiv arXiv preprint

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