Bulletin of the American Physical Society
APS March Meeting 2022
Volume 67, Number 3
Monday–Friday, March 14–18, 2022; Chicago
Session Y37: Quantum Algorithms for Physical Properties Prediction
8:00 AM–11:00 AM,
Friday, March 18, 2022
Room: McCormick Place W-194B
Sponsoring
Unit:
DQI
Chair: Alam Sohaib, Universities Space Research Association / NASA Ames Research Center
Abstract: Y37.00001 : Variational Quantum Simulations of Multi-Orbital Impurity Models*
8:00 AM–8:12 AM
Presenter:
Anirban Mukherjee
(Ames Laboratory, U.S. Department of Energy, Ames, Iowa 50011, USA)
Authors:
Anirban Mukherjee
(Ames Laboratory, U.S. Department of Energy, Ames, Iowa 50011, USA)
Noah Berthusen
(Department of Computer Science, University of Maryland, College Park, MD, 20742, USA)
Peter P Orth
(Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011, USA)
Yongxin Yao
(Ames Laboratory, U.S. Department of Energy, Ames, Iowa 50011, USA)
Collaborations:
Anirban Mukherjee, Noah Berthusen, Peter P. Orth, Yong-Xin Yao
An operator pool composed of pairwise commutators of the Hamiltonian terms is developed to allow a fair comparison between the adaptive and the fixed HVA ansatz. Using state vector simulations, we show that the most compact ans\"atze is obtained in the atomic orbital representation with symmetry-based Pauli tapering within parity encoding. Finally, we perform adaptive VQE calculations including sampling noise and demonstrate that using a doubly decomposed form of the impurity Hamiltonian, symmetry-based qubit reduction, and stochastic optimizers dramatically reduces the number of shots required for the desired accuracy.
*This work was supported by the U.S. Department of Energy (DOE), Office of Science, Basic Energy Sciences, Materials Science and Engineering Division. The research was performed at the Ames Laboratory, which is operated for the U.S. DOE by Iowa State University under Contract No. DE-AC02-07CH11358.
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