Self-consistent quantum linear response with a polarizable embedding environment
Self-consistent quantum linear response with a polarizable embedding environment
Quantum computing presents a promising avenue for solving complex problems, particularly in quantum chemistry, where it could accelerate the computation of molecular properties and excited states. This work focuses on computing excitation energies with hybrid quantum-classical algorithms for near-term quantum devices, combining the quantum linear response (qLR) method with a polarizable embedding (PE) environment. We employ the self-consistent operator manifold of quantum linear response (q-sc-LR) on top of a unitary coupled cluster (UCC) wave function in combination with a Davidson solver. The latter removes the need to construct the entire electronic Hessian, improving computational efficiency when going toward larger molecules. We introduce a new superposition-state-based technique to compute Hessian-vector products and show that this approach is more resilient toward noise than our earlier gradient-based approach. We demonstrate the performance of the PE-UCCSD model on systems such as butadiene and para-nitroaniline in water and find that PE-UCCSD delivers comparable accuracy to classical PE-CCSD methods on such simple closed-shell systems. We also explore the challenges posed by hardware noise and propose simple error mitigation techniques to maintain accurate results on noisy quantum computers.
1504-1515
Reinholdt, Peter
ddb08ed1-8804-437d-816d-d9e7ee558022
Kjellgren, Erik
c05eb9d4-e87e-43da-800a-1828d8d7f95f
Ziems, Karl Michael
6d346238-2471-47c7-b89f-590059caf037
Coriani, Sonia
a1d68d22-6db5-4c02-9971-097ff3f7bc71
Sauer, Stephan P.A.
7a0e1312-165e-4670-ac1c-a0f3541e4181
Kongsted, Jacob
460ce016-8491-4084-8934-a439c16105c5
6 February 2025
Reinholdt, Peter
ddb08ed1-8804-437d-816d-d9e7ee558022
Kjellgren, Erik
c05eb9d4-e87e-43da-800a-1828d8d7f95f
Ziems, Karl Michael
6d346238-2471-47c7-b89f-590059caf037
Coriani, Sonia
a1d68d22-6db5-4c02-9971-097ff3f7bc71
Sauer, Stephan P.A.
7a0e1312-165e-4670-ac1c-a0f3541e4181
Kongsted, Jacob
460ce016-8491-4084-8934-a439c16105c5
Reinholdt, Peter, Kjellgren, Erik, Ziems, Karl Michael, Coriani, Sonia, Sauer, Stephan P.A. and Kongsted, Jacob
(2025)
Self-consistent quantum linear response with a polarizable embedding environment.
Journal of Physical Chemistry A, 129 (5), .
(doi:10.1021/acs.jpca.4c07534).
Abstract
Quantum computing presents a promising avenue for solving complex problems, particularly in quantum chemistry, where it could accelerate the computation of molecular properties and excited states. This work focuses on computing excitation energies with hybrid quantum-classical algorithms for near-term quantum devices, combining the quantum linear response (qLR) method with a polarizable embedding (PE) environment. We employ the self-consistent operator manifold of quantum linear response (q-sc-LR) on top of a unitary coupled cluster (UCC) wave function in combination with a Davidson solver. The latter removes the need to construct the entire electronic Hessian, improving computational efficiency when going toward larger molecules. We introduce a new superposition-state-based technique to compute Hessian-vector products and show that this approach is more resilient toward noise than our earlier gradient-based approach. We demonstrate the performance of the PE-UCCSD model on systems such as butadiene and para-nitroaniline in water and find that PE-UCCSD delivers comparable accuracy to classical PE-CCSD methods on such simple closed-shell systems. We also explore the challenges posed by hardware noise and propose simple error mitigation techniques to maintain accurate results on noisy quantum computers.
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Accepted/In Press date: 6 January 2025
e-pub ahead of print date: 23 January 2025
Published date: 6 February 2025
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Publisher Copyright:
© 2025 American Chemical Society.
Identifiers
Local EPrints ID: 498229
URI: http://eprints.soton.ac.uk/id/eprint/498229
ISSN: 1089-5639
PURE UUID: c2048b5b-3297-4110-be97-465d9fe2f278
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Date deposited: 12 Feb 2025 17:50
Last modified: 15 Aug 2025 02:13
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Contributors
Author:
Peter Reinholdt
Author:
Erik Kjellgren
Author:
Karl Michael Ziems
Author:
Sonia Coriani
Author:
Stephan P.A. Sauer
Author:
Jacob Kongsted
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