Quantum Nuclear Dynamics on a Distributed Set of Ion-Trap Quantum Computing Systems

Quantum nuclear dynamics with wavepacket time evolution is classically intractable and viewed as a promising avenue for quantum information processing. Here, we use IonQ, Inc.'s 11-qubit trapped-ion quantum computer, Harmony, to study the quantum wavepacket dynamics of a shared-proton within a short-strong hydrogen-bonded system. We also provide the first application of distributed quantum computing for chemical dynamics problems, where a distributed set of quantum processes is constructed using a tensor network formalism. For a range of initial states, we experimentally drive the ion-trap system to emulate the quantum nuclear wavepacket as it evolves along the potential surface generated from the electronic structure. Following the experimental creation of the nuclear wavepacket, we extract measurement observables such as its time-dependent spatial projection and its characteristic vibrational frequencies to good agreement with classical results. Vibrational eigenenergies obtained from quantum computation are in agreement with those obtained from classical simulations to within a fraction of a kilocalorie per mole, thus suggesting chemical accuracy. Our approach opens a new paradigm for studying the quantum chemical dynamics and vibrational spectra of molecules and also provides the first demonstration of parallel quantum computation on a distributed set of ion-trap quantum computers.

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Publication Details

Journal
Journal of the American Chemical Society
Published
2024-10-16
DOI
https://doi.org/10.1021/jacs.4c07670
Citations
3
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
1.04

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article

Quantum Nuclear Dynamics on a Distributed Set of Ion-Trap Quantum Computing Systems

Srinivasan S. Iyengar, A. J. Rasmusson, Philip Richerme, Anurag Dwivedi
3 citations
Journal of the American Chemical Society
Quantum Computing Algorithms and Architecture
1.04
article

Quantum Nuclear Dynamics on a Distributed Set of Ion-Trap Quantum Computing Systems

Srinivasan S. Iyengar, A. J. Rasmusson, Philip Richerme, Anurag Dwivedi
article en
3 citations

Abstract

Quantum nuclear dynamics with wavepacket time evolution is classically intractable and viewed as a promising avenue for quantum information processing. Here, we use IonQ, Inc.'s 11-qubit trapped-ion quantum computer, Harmony, to study the quantum wavepacket dynamics of a shared-proton within a short-strong hydrogen-bonded system. We also provide the first application of distributed quantum computing for chemical dynamics problems, where a distributed set of quantum processes is constructed using a tensor network formalism. For a range of initial states, we experimentally drive the ion-trap system to emulate the quantum nuclear wavepacket as it evolves along the potential surface generated from the electronic structure. Following the experimental creation of the nuclear wavepacket, we extract measurement observables such as its time-dependent spatial projection and its characteristic vibrational frequencies to good agreement with classical results. Vibrational eigenenergies obtained from quantum computation are in agreement with those obtained from classical simulations to within a fraction of a kilocalorie per mole, thus suggesting chemical accuracy. Our approach opens a new paradigm for studying the quantum chemical dynamics and vibrational spectra of molecules and also provides the first demonstration of parallel quantum computation on a distributed set of ion-trap quantum computers.

Journal of the American Chemical SocietyVol. 146(43)
Indiana University Bloomington (US), Quantum Technologies (Sweden) (SE), Indiana University (US)
Division of Chemistry, Office of Multidisciplinary Activities
Affordable and clean energy
Openalex Percentile: Top 19%
Quantum Computing Algorithms and Architecture
1.04
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Quantum Nuclear Dynamics on a Distributed Set of Ion-Trap Quantum Computing Systems — Srinivasan S. Iyengar, A. J. Rasmusson, et al. · Journal of the American Chemical Society (2024) | TGRS Research Map | TGRS