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
Approximately Equivariant Quantum Neural Network for $p4m$ Group Symmetries in Images
Su Yeon Chang, Michele Grossi, Bertrand Le Saux, Sofia Vallecorsa
Approximation algorithms for noncommutative CSPs
Eric Culf, Hamoon Mousavi, Taro Spirig
Bayesian Modelling Approaches for Quantum States -- The Ultimate Gaussian Process States Handbook
Yannic Rath
Benchmarking machine learning models for quantum state classification
Edoardo Pedicillo, Andrea Pasquale, Stefano Carrazza
Benchmarking of universal qutrit gates
David Amaro-Alcalá, Barry C. Sanders, Hubert de Guise
Benefits of Open Quantum Systems for Quantum Machine Learning
María Laura Olivera-Atencio, Lucas Lamata, Jesús Casado-Pascual
Bit Flipping Key Encapsulation for the Post-Quantum Era
Mohammad Reza Nosouhi, Syed Wajid Ali Shah, Lei Pan, Robin Doss
Black-Litterman Portfolio Optimization with Noisy Intermediate-Scale Quantum Computers
Chi-Chun Chen, San-Lin Chung, Hsi-Sheng Goan
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
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
Boosting Defect Detection in Manufacturing using Tensor Convolutional Neural Networks
Pablo Martin-Ramiro, Unai Sainz de la Maza, Sukhbinder Singh, Roman Orus, Samuel Mugel