Quantum Machine Learning
256 papers for year 2021
Showing 193-204 of 256
Quantum Model Learning Agent: characterisation of quantum systems through machine learning
Brian Flynn, Antonio Andreas Gentile, Nathan Wiebe, Raffaele Santagati, Anthony Laing
Quantum Model-Discovery
Niklas Heim, Atiyo Ghosh, Oleksandr Kyriienko, Vincent E. Elfving
Quantum Neural Networks: Concepts, Applications, and Challenges
Yunseok Kwak, Won Joon Yun, Soyi Jung, Joongheon Kim
Quantum Noise Sensing by generating Fake Noise
Paolo Braccia, Leonardo Banchi, Filippo Caruso
Quantum Pattern Recognition in Photonic Circuits
Rui Wang, Carlos Hernani-Morales, José D. Martín-Guerrero, Enrique Solano, Francisco Albarrán-Arriagada
Quantum Phase Recognition via Quantum Kernel Methods
Yusen Wu, Bujiao Wu, Jingbo Wang, Xiao Yuan
Quantum propensities in the brain cortex and free will
Danko D. Georgiev
Quantum Radon Transform and Its Application
Guangsheng Ma, Hongbo Li, Jiman Zhao
Quantum Reinforcement Learning: the Maze problem
Nicola Dalla Pozza, Lorenzo Buffoni, Stefano Martina, Filippo Caruso
Quantum representation of 1-D signals on the unit circle
Artyom M. Grigoryan, Sos S. Agaian
Quantum reservoir computing using arrays of Rydberg atoms
Rodrigo Araiza Bravo, Khadijeh Najafi, Xun Gao, Susanne F. Yelin
Quantum Sampling Algorithms, Phase Transitions, and Computational Complexity
Dominik S. Wild, Dries Sels, Hannes Pichler, Cristian Zanoci, Mikhail D. Lukin