Orders of magnitude increased accuracy for quantum many-body problems on quantum computers via an exact transcorrelated method
Journal article, 2023

Transcorrelated methods provide an efficient way of partially transferring the description of electronic correlations from the ground-state wave function directly into the underlying Hamiltonian. In particular, Dobrautz et al. [Phys. Rev. B 99, 075119 (2019)2469-995010.1103/PhysRevB.99.075119] have demonstrated that the use of momentum-space representation, combined with a nonunitary similarity transformation, results in a Hubbard Hamiltonian that possesses a significantly more "compact"ground-state wave function, dominated by a single Slater determinant. This compactness/single-reference character greatly facilitates electronic structure calculations. As a consequence, however, the Hamiltonian becomes non-Hermitian, posing problems for quantum algorithms based on the variational principle. We overcome these limitations with the Ansatz-based quantum imaginary-time evolution algorithm and apply the transcorrelated method in the context of digital quantum computing. We demonstrate that this approach enables up to four orders of magnitude more accurate and compact solutions in various instances of the Hubbard model at intermediate interaction strength (U/t=4), enabling the use of shallower quantum circuits for wave-function Ansätzes. In addition, we propose a more efficient implementation of the quantum imaginary-time evolution algorithm in quantum circuits that is tailored to non-Hermitian problems. To validate our approach, we perform hardware experiments on the ibmq_lima quantum computer. Our work paves the way for the use of exact transcorrelated methods for the simulations of ab initio systems on quantum computers.

Author

Igor O. Sokolov

IBM Research

Werner Barucha-Dobrautz

Max Planck Society

Chalmers, Chemistry and Chemical Engineering, Chemistry and Biochemistry

Hongjun Luo

Max Planck Society

Ali Alavi

Max Planck Society

University of Cambridge

Ivano Tavernelli

IBM Research

Physical Review Research

26431564 (ISSN)

Vol. 5 2 023174

Subject Categories

Computational Mathematics

Other Physics Topics

Theoretical Chemistry

DOI

10.1103/PhysRevResearch.5.023174

More information

Latest update

1/3/2024 9