Nonadiabatic Nuclear-Electron Dynamics: A Quantum Computing Approach.


Journal

The journal of physical chemistry letters
ISSN: 1948-7185
Titre abrégé: J Phys Chem Lett
Pays: United States
ID NLM: 101526034

Informations de publication

Date de publication:
10 Aug 2023
Historique:
medline: 1 8 2023
pubmed: 1 8 2023
entrez: 1 8 2023
Statut: ppublish

Résumé

Coupled quantum electron-nuclear dynamics is often associated with the Born-Huang expansion of the molecular wave function and the appearance of nonadiabatic effects as a perturbation. On the other hand, native multicomponent representations of electrons and nuclei also exist, which do not rely on any a priori approximation. However, their implementation is hampered by prohibitive scaling. Consequently, quantum computers offer a unique opportunity for extending their use to larger systems. Here, we propose a quantum algorithm for simulating the time-evolution of molecular systems and apply it to proton transfer dynamics in malonaldehyde, described as a rigid scaffold. The proposed quantum algorithm can be easily generalized to include the explicit dynamics of the classically described molecular scaffold. We show how entanglement between electronic and nuclear degrees of freedom can persist over long times if electrons do not follow the nuclear displacement adiabatically. The proposed quantum algorithm may become a valid candidate for the study of such phenomena when sufficiently powerful quantum computers become available.

Identifiants

pubmed: 37527463
doi: 10.1021/acs.jpclett.3c01589
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

7065-7072

Auteurs

Arseny Kovyrshin (A)

Data Science and Modelling, Pharmaceutical Sciences, R&D, AstraZeneca Gothenburg, Pepparedsleden 1, Molndal SE-431 83, Sweden.

Mårten Skogh (M)

Data Science and Modelling, Pharmaceutical Sciences, R&D, AstraZeneca Gothenburg, Pepparedsleden 1, Molndal SE-431 83, Sweden.
Department of Chemistry and Chemical Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden.

Lars Tornberg (L)

Data Science and Modelling, Pharmaceutical Sciences, R&D, AstraZeneca Gothenburg, Pepparedsleden 1, Molndal SE-431 83, Sweden.

Anders Broo (A)

Data Science and Modelling, Pharmaceutical Sciences, R&D, AstraZeneca Gothenburg, Pepparedsleden 1, Molndal SE-431 83, Sweden.

Stefano Mensa (S)

The Hartree Centre, STFC, Sci-Tech Daresbury, Warrington WA4 4AD, United Kingdom.

Emre Sahin (E)

The Hartree Centre, STFC, Sci-Tech Daresbury, Warrington WA4 4AD, United Kingdom.

Benjamin C B Symons (BCB)

The Hartree Centre, STFC, Sci-Tech Daresbury, Warrington WA4 4AD, United Kingdom.

Jason Crain (J)

IBM Research Europe, Hartree Centre STFC Laboratory, Sci-Tech Daresbury, Warrington WA4 4AD, United Kingdom.
Department of Biochemistry, University of Oxford, Oxford OX1 3QU, U.K.

Ivano Tavernelli (I)

IBM Quantum, IBM Research Europe-Zurich, Säumerstrasse 4, 8803 Rüschlikon, Switzerland.

Classifications MeSH