Quantum Machine Learning
4,297 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 2521-2532 of 4,297
Quantum multi-output Gaussian Processes based Machine Learning for Line Parameter Estimation in Electrical Grids
Priyanka Arkalgud Ganeshamurthy, Kumar Ghosh, Corey O'Meara, Giorgio Cortiana, Jan Schiefelbein-Lach, Antonello Monti
Quantum network tomography of Rydberg arrays by machine learning
Kaustav Mukherjee, Johannes Schachenmayer, Shannon Whitlock, Sebastian Wüster
Quantum Neural Network for Accelerated Magnetic Resonance Imaging
Shuo Zhou, Yihang Zhou, Congcong Liu, Yanjie Zhu, Hairong Zheng, Dong Liang, Haifeng Wang
Quantum Neural Network Training of a Repeater Node
Diego Fuentealba, Jack Dahn, James Steck, Elizabeth Behrman
Quantum noise modeling through Reinforcement Learning
Simone Bordoni, Andrea Papaluca, Piergiorgio Buttarini, Alejandro Sopena, Stefano Giagu, Stefano Carrazza
Quantum One-Time Protection of any Randomized Algorithm
Sam Gunn, Ramis Movassagh
Quantum Operating System Support for Quantum Trusted Execution Environments
Theodoros Trochatos, Jakub Szefer
Quantum optimal control of superconducting qubits based on machine-learning characterization
Elie Genois, Noah J. Stevenson, Noah Goss, Irfan Siddiqi, Alexandre Blais
Quantum Policy Gradient in Reproducing Kernel Hilbert Space
David M. Bossens, Kishor Bharti, Jayne Thompson
Quantum prioritized experience replay with MaDi-based priority and quantum circuit mechanisms for optimizing reinforcement learning
Unknown
Quantum Serverless Paradigm and Application Development using the QFaaS Framework
Hoa T. Nguyen, Bui Binh An Pham, Muhammad Usman, Rajkumar Buyya
Quantum similarity learning for anomaly detection
A. Hammad, Mihoko M. Nojiri, Masahito Yamazaki