Accelerating variational quantum eigensolver convergence using parameter transfer
Journal article, 2023
quantum computation
quantum chemistry
potential energy surfaces
Author
Mårten Skogh
Chalmers, Chemistry and Chemical Engineering, Chemistry and Biochemistry
AstraZeneca AB
Oskar Leinonen
Chalmers, Chemistry and Chemical Engineering, Chemistry and Biochemistry
University of Oslo
Phalgun Lolur
Chalmers, Chemistry and Chemical Engineering, Chemistry and Biochemistry
Martin Rahm
STFC Rutherford Appleton Laboratory
Chalmers, Chemistry and Chemical Engineering, Chemistry and Biochemistry
Electronic Structure
25161075 (eISSN)
Vol. 5 3 035002An Open Superconducting Quantum Computer (OpenSuperQ)
European Commission (EC) (EC/H2020/820363), 2018-10-01 -- 2021-09-30.
Subject Categories
Computational Mathematics
Other Physics Topics
Theoretical Chemistry
Computer Science
DOI
10.1088/2516-1075/ace86d
Related datasets
Accelerating Variational Quantum Eigensolver Convergence using Parameter Transfer [dataset]
DOI: 10.5878/fvza-z272