Quantum Machine Learning
256 papers for year 2021
Showing 73-84 of 256
Generalized quantum circuit differentiation rules
Oleksandr Kyriienko, Vincent E. Elfving
Generation of 1 Gb full entropy random numbers with the enhanced-NRBG method
Deepika Aggarwal, Karthick Balaji R, Rohit Ghatikar, Sruthi Chennuri, Anindita Banerjee
Generative Quantum Learning of Joint Probability Distribution Functions
Elton Yechao Zhu, Sonika Johri, Dave Bacon, Mert Esencan, Jungsang Kim, Mark Muir, Nikhil Murgai, Jason Nguyen, Neal Pisenti, Adam Schouela, Ksenia Sosnova, Ken Wright
Generative Quantum Machine Learning
Christa Zoufal
Geometry of Information: classical and quantum aspects
Noemie Combe, Yuri I. Manin, Matilde Marcolli
Hamiltonian simulation algorithms for near-term quantum hardware.
Clinton L, Bausch J, Cubitt T.
Hessian-based toolbox for reliable and interpretable machine learning in physics
Anna Dawid, Patrick Huembeli, Michał Tomza, Maciej Lewenstein, Alexandre Dauphin
High robustness quantum walk search algorithm with qudit Householder traversing coin, machine learning study
Hristo Tonchev, Petar Danev
High-quality Thermal Gibbs Sampling with Quantum Annealing Hardware
Jon Nelson, Marc Vuffray, Andrey Y. Lokhov, Tameem Albash, Carleton Coffrin
Hybrid Classical-Quantum Autoencoder for Anomaly Detection
Alona Sakhnenko, Corey O'Meara, Kumar J. B. Ghosh, Christian B. Mendl, Giorgio Cortiana, Juan Bernabé-Moreno
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack
Reek Majumder, Sakib Mahmud Khan, Fahim Ahmed, Zadid Khan, Frank Ngeni, Gurcan Comert, Judith Mwakalonge, Dimitra Michalaka, Mashrur Chowdhury
Hybrid quantum-classical machine learning for generative chemistry and drug design
A. I. Gircha, A. S. Boev, K. Avchaciov, P. O. Fedichev, A. K. Fedorov