Quantum Machine Learning
659 papers from Crossref
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 601-612 of 659
Introduction to the Special Issue on Design Automation for Quantum Computing
Robert Wille, Rolf Drechsler
IQWOA: Improved Quantum Whale Optimization Algorithm for Clustering in Industrial Wireless Sensor Network
Yang Liu, Chaoqun Li, Yao Zhang, Jing Xiao, Jie Zhou
Lamb shift statistics in mesoscopic quantum ensembles
Lane G. Gunderman, Andrew Stasiuk, Mohamed El Mandouh, Troy W. Borneman, David G. Cory
Many-Objective Quantum-Inspired Particle Swarm Optimization Algorithm for Placement of Virtual Machines in Smart Computing Cloud
Jerzy Balicki
Mitigating Depolarizing Noise on Quantum Computers with Noise-Estimation Circuits
Miroslav Urbanek, Benjamin Nachman, Vincent R. Pascuzzi, Andre He, Christian W. Bauer, Wibe A. de Jong
Molecular representations for machine learning applications in chemistry
Shampa Raghunathan, U. Deva Priyakumar
Optimized Machine Learning: Training and Classification Performance Using Quantum Computing
Mukta Nivelkar, S. G. Bhirud
Post-Quantum and Code-Based Cryptography—Some Prospective Research Directions
Chithralekha Balamurugan, Kalpana Singh, Ganeshvani Ganesan, Muttukrishnan Rajarajan
Prime number factorization using a spinor Bose–Einstein condensate-inspired topological quantum computer
Emil Génetay Johansen, Tapio Simula
Quantum Chain of Things (QCoT): A New Paradigm for Integrating Quantum Computing, Blockchain, and Internet of Things
Mina Younan, Mohamed Elhoseny, Abdelmgeid A. Ali, Essam H. Houssein
Quantum representation of 1-D signals on the unit circle
Artyom M. Grigoryan, Sos S. Agaian
Quantum Walk-Based Vehicle Routing Optimisation
T. Bennett, E. Matwiejew, S. Marsh, J. B. Wang