Quantum Machine Learning
256 papers for year 2021
Showing 169-180 of 256
Quantifying scrambling in quantum neural networks
Roy J. Garcia, Kaifeng Bu, Arthur Jaffe
Quantum algorithm for structure learning of Markov Random Fields
Liming Zhao, Siyi Yang, Patrick Rebentrost
Quantum algorithms for approximate function loading
Gabriel Marin-Sanchez, Javier Gonzalez-Conde, Mikel Sanz
Quantum algorithms for group convolution, cross-correlation, and equivariant transformations
Grecia Castelazo, Quynh T. Nguyen, Giacomo De Palma, Dirk Englund, Seth Lloyd, Bobak T. Kiani
Quantum algorithms for the generalized eigenvalue problem
Jin-Min Liang, Shu-Qian Shen, Ming Li, Shao-Ming Fei
Quantum Alphatron: quantum advantage for learning with kernels and noise
Siyi Yang, Naixu Guo, Miklos Santha, Patrick Rebentrost
Quantum Architecture Search via Continual Reinforcement Learning
Esther Ye, Samuel Yen-Chi Chen
Quantum Artificial Intelligence for the Science of Climate Change
Manmeet Singh, Chirag Dhara, Adarsh Kumar, Sukhpal Singh Gill, Steve Uhlig
Quantum Bayesian Neural Networks
Noah Berner, Vincent Fortuin, Jonas Landman
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 circuits with classical channels and the principle of deferred measurements
Yuri Gurevich, Andreas Blass
Quantum collision finding for homomorphic hash functions
Juan Carlos Garcia-Escartin, Vicent Gimeno, Julio José Moyano-Fernández