134 citations · 574 across the 19 of their papers we have counts for
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quant-ph2020★ 33 cited
A Neural-Network Variational Quantum Algorithm for Many-Body Dynamics
Chee-Kong Lee, Pranay Patil, Shengyu Zhang +1
We propose a neural-network variational quantum algorithm to simulate the time evolution of quantum many-body systems. Based on a modified restricted Boltzmann machine (RBM) wavefu…
quant-ph2020★ 1 cited
Optimizing Quantum Annealing Schedules with Monte Carlo Tree Search enhanced with neural networks
Yu-Qin Chen, Yu Chen, Chee-Kong Lee +2
Quantum annealing is a practical approach to approximately implement the adiabatic quantum computational model under a real-world setting. The goal of an adiabatic algorithm is to…