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 2185-2196 of 3,957
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
Quantum Simulation of Spin-Boson Models with Structured Bath
Kim J, Sun K, Kang M, Nuomin H, Schwartz G, Brown K, Beratan D.
Quantum Supervised Learning
Antonio Macaluso
Quantum Technology masters: A shortcut to the quantum industry?
Simon Goorney, Borja Munoz, Jacob Sherson
Quantum Time-Series Learning with Evolutionary Algorithms
Vignesh Anantharamakrishnan, Márcio M. Taddei