Quantum Machine Learning
256 papers for year 2021
Showing 121-132 of 256
Medical image classification via quantum neural networks
Natansh Mathur, Jonas Landman, Yun Yvonna Li, Martin Strahm, Skander Kazdaghli, Anupam Prakash, Iordanis Kerenidis
Mitigated barren plateaus in the time-nonlocal optimization of analog quantum-algorithm protocols
Lukas Broers, Ludwig Mathey
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
Model-Independent Quantum Phases Classifier
Felipe Mahlow, Fabrício S. Luiz, André L. Malvezzi, Felipe F. Fanchini
Module for arbitrary controlled rotation in gate-based quantum algorithms
Shilu Yan, Tong Dou, Runqiu Shu, Wei Cui
Molecular representations for machine learning applications in chemistry
Shampa Raghunathan, U. Deva Priyakumar
Multi-party Purity Distillation and Instrument Simulation in the One-Shot Regime
Igor Bernard, Arun Padakandla
Near-Optimal Quantum Algorithms for Multivariate Mean Estimation
Arjan Cornelissen, Yassine Hamoudi, Sofiene Jerbi
NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems
Filippo Vicentini, Damian Hofmann, Attila Szabó, Dian Wu, Christopher Roth, Clemens Giuliani, Gabriel Pescia, Jannes Nys, Vladimir Vargas-Calderon, Nikita Astrakhantsev, Giuseppe Carleo
New Trends in Quantum Machine Learning
Lorenzo Buffoni, Filippo Caruso
Nonlinear Autoregression with Convergent Dynamics on Novel Computational Platforms
J. Chen, H. I. Nurdin
Nonlinear transformation of complex amplitudes via quantum singular value transformation
Naixu Guo, Kosuke Mitarai, Keisuke Fujii