Which options exist for NISQ-friendly linear response formulations?
Which options exist for NISQ-friendly linear response formulations?
Linear response (LR) theory is a powerful tool in classic quantum chemistry crucial to understanding photoinduced processes in chemistry and biology. However, performing simulations for large systems and in the case of strong electron correlation remains challenging. Quantum computers are poised to facilitate the simulation of such systems, and recently, a quantum linear response formulation (qLR) was introduced [Kumar et al., J. Chem. Theory Comput. 2023, 19, 9136-9150]. To apply qLR to near-term quantum computers beyond a minimal basis set, we here introduce a resource-efficient qLR theory, using a truncated active-space version of the multiconfigurational self-consistent field LR ansatz. Therein, we investigate eight different near-term qLR formalisms that utilize novel operator transformations that allow the qLR equations to be performed on near-term hardware. Simulating excited state potential energy curves and absorption spectra for various test cases, we identify two promising candidates, dubbed “proj LRSD” and “all-proj LRSD”.
Quantum Computation, Quantum algorithm, Theoretical Chemistry, computational chemistry, Quantum Chemistry
3551-3565
Ziems, Karl Michael
6d346238-2471-47c7-b89f-590059caf037
Kjellgren, Erik Rosendahl
c05eb9d4-e87e-43da-800a-1828d8d7f95f
Reinholdt, Peter
ddb08ed1-8804-437d-816d-d9e7ee558022
Jensen, Phillip W.K.
b5beab67-83f0-4afa-8ab7-6bd8fc4957d4
Sauer, Stephan P.A.
7a0e1312-165e-4670-ac1c-a0f3541e4181
Kongsted, Jacob
460ce016-8491-4084-8934-a439c16105c5
Coriani, Sonia
a1d68d22-6db5-4c02-9971-097ff3f7bc71
25 April 2024
Ziems, Karl Michael
6d346238-2471-47c7-b89f-590059caf037
Kjellgren, Erik Rosendahl
c05eb9d4-e87e-43da-800a-1828d8d7f95f
Reinholdt, Peter
ddb08ed1-8804-437d-816d-d9e7ee558022
Jensen, Phillip W.K.
b5beab67-83f0-4afa-8ab7-6bd8fc4957d4
Sauer, Stephan P.A.
7a0e1312-165e-4670-ac1c-a0f3541e4181
Kongsted, Jacob
460ce016-8491-4084-8934-a439c16105c5
Coriani, Sonia
a1d68d22-6db5-4c02-9971-097ff3f7bc71
Ziems, Karl Michael, Kjellgren, Erik Rosendahl, Reinholdt, Peter, Jensen, Phillip W.K., Sauer, Stephan P.A., Kongsted, Jacob and Coriani, Sonia
(2024)
Which options exist for NISQ-friendly linear response formulations?
Journal of Chemical Theory and Computation, 20 (9), .
(doi:10.1021/acs.jctc.3c01402).
Abstract
Linear response (LR) theory is a powerful tool in classic quantum chemistry crucial to understanding photoinduced processes in chemistry and biology. However, performing simulations for large systems and in the case of strong electron correlation remains challenging. Quantum computers are poised to facilitate the simulation of such systems, and recently, a quantum linear response formulation (qLR) was introduced [Kumar et al., J. Chem. Theory Comput. 2023, 19, 9136-9150]. To apply qLR to near-term quantum computers beyond a minimal basis set, we here introduce a resource-efficient qLR theory, using a truncated active-space version of the multiconfigurational self-consistent field LR ansatz. Therein, we investigate eight different near-term qLR formalisms that utilize novel operator transformations that allow the qLR equations to be performed on near-term hardware. Simulating excited state potential energy curves and absorption spectra for various test cases, we identify two promising candidates, dubbed “proj LRSD” and “all-proj LRSD”.
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Published date: 25 April 2024
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Publisher Copyright:
© 2024 American Chemical Society.
Keywords:
Quantum Computation, Quantum algorithm, Theoretical Chemistry, computational chemistry, Quantum Chemistry
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Local EPrints ID: 498233
URI: http://eprints.soton.ac.uk/id/eprint/498233
ISSN: 1549-9618
PURE UUID: 5be19a79-be45-4c37-809b-97ccf84ee2dd
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Date deposited: 12 Feb 2025 17:50
Last modified: 13 Feb 2025 03:16
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Contributors
Author:
Karl Michael Ziems
Author:
Erik Rosendahl Kjellgren
Author:
Peter Reinholdt
Author:
Phillip W.K. Jensen
Author:
Stephan P.A. Sauer
Author:
Jacob Kongsted
Author:
Sonia Coriani
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