Quantum Simulation
902 papers for year 2020
Quantum Simulation Research Context
This category collects papers on quantum simulation methods for chemistry, materials, many-body systems, condensed matter, and physics models.
Showing 73-84 of 902
Assessing three closed-loop learning algorithms by searching for high-quality quantum control pulses
Xiao-dong Yang, Christian Arenz, Istvan Pelczer, Qi-Ming Chen, Re-Bing Wu, Xin-hua Peng, Herschel Rabitz
Asymmetric Bidirectional Quantum Information Transmission by Using 9-Qubit Cluster State as Channel
PENG Jiayin
Atom-light entanglement for precise field sensing in the optical domain
Diego Barberena, Robert J. Lewis-Swan, Ana Maria Rey, James K. Thompson
Attenuating the fermion sign problem in path integral Monte Carlo simulations using the Bogoliubov inequality and thermodynamic integration
Tobias Dornheim, Michele Invernizzi, Jan Vorberger, Barak Hirshberg
Author Correction: Influence of microstructure on superconductivity in K x Fe2−y Se2 and evidence for a new parent phase K2Fe7Se8
Xiaxin Ding, Delong Fang, Zhenyu Wang, Huan Yang, Jianzhong Liu, Qiang Deng, Guobin Ma, Chong Meng, Yuhui Hu, Hai-Hu Wen
Author Correction: Quasi-probability information in a coupled two-qubit system interacting non-linearly with a coherent cavity under intrinsic decoherence.
Mohamed AA, Eleuch H.
Bayesian Quantum Multiphase Estimation Algorithm
Valentin Gebhart, Augusto Smerzi, Luca Pezzè
Beating Random Assignment for Approximating Quantum 2-Local Hamiltonian Problems
Ojas Parekh, Kevin Thompson
Beating the House: Fast Simulation of Dissipative Quantum Systems with Ensemble Rank Truncation
Gerard McCaul, Kurt Jacobs, Denys I. Bondar
Benchmarking 50-Photon Gaussian Boson Sampling on the Sunway TaihuLight
Yuxuan Li, Mingcheng Chen, Yaojian Chen, Haitian Lu, Lin Gan, Chaoyang Lu, Jianwei Pan, Haohuan Fu, Guangwen Yang
Benchmarking adaptive variational quantum eigensolvers
Daniel Claudino, Jerimiah Wright, Alexander J. McCaskey, Travis S. Humble
Benchmarking the Variational Quantum Eigensolver through Simulation of the Ground State Energy of Prebiotic Molecules on High-Performance Computers
P. Lolur, M. Rahm, M. Skogh, L. García-Álvarez, G. Wendin