14 citations · 15 across the 2 of their papers we have counts for
2 papers
quant-ph2021★ 1 cited
Error mitigation in variational quantum eigensolvers using tailored probabilistic machine learning
Tao Jiang, John Rogers, Marius S. Frank +3
Quantum computing technology has the potential to revolutionize the simulation of materials and molecules in the near future. A primary challenge in achieving near-term quantum adv…
cond-mat.str-el2020★ 14 cited
Bypassing the computational bottleneck of quantum-embedding theories for strong electron correlations with machine learning
John Rogers, Tsung-Han Lee, Sahar Pakdel +5
A cardinal obstacle to performing quantum-mechanical simulations of strongly-correlated matter is that, with the theoretical tools presently available, sufficiently-accurate comput…