Experimental Quantum Simulation of Chemical Dynamics

Accurate simulation of dynamic processes in molecules and reactions is among the most challenging problems in quantum chemistry. Quantum computers promise efficient chemical simulation, but the existing quantum algorithms require many logical qubits and gates, placing practical applications beyond existing technology. Here, we carry out the first quantum simulations of chemical dynamics by employing a more hardware-efficient encoding scheme that uses both qubits and bosonic degrees of freedom. Our trapped-ion device accurately simulates the dynamics of nonadiabatic chemical processes, which are among the most difficult problems in computational chemistry because they involve strong coupling between electronic and nuclear motions. We demonstrate the programmability and versatility of our approach by simulating the dynamics of three different molecules, as well as open-system dynamics in the condensed phase, all with the same quantum resources. Our approach requires orders of magnitude fewer resources than equivalent qubit-only quantum simulations, demonstrating the potential of using hybrid encoding schemes to accelerate quantum simulations of complex chemical processes, which could have applications in fields ranging from energy conversion and storage to biology and drug design.

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Publication Details

Journal
Journal of the American Chemical Society
Published
2025-05-14
DOI
https://doi.org/10.1021/jacs.5c03336
Citations
14
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
34.73

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Experimental Quantum Simulation of Chemical Dynamics

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Journal of the American Chemical Society
Quantum Computing Algorithms and Architecture
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Experimental Quantum Simulation of Chemical Dynamics

Michael J. Biercuk, H. L. Nourse, Cornelius Hempel, Tomas Navickas, Ting Rei Tan, Maverick J. Millican, Ivan Kassal, Vanessa C. Olaya-Agudelo, Arjun D. Rao, Vassili G. Matsos, Christophe H. Valahu, Ryan J. MacDonell, F. Scuccimarra
article en
14 citations

Abstract

Accurate simulation of dynamic processes in molecules and reactions is among the most challenging problems in quantum chemistry. Quantum computers promise efficient chemical simulation, but the existing quantum algorithms require many logical qubits and gates, placing practical applications beyond existing technology. Here, we carry out the first quantum simulations of chemical dynamics by employing a more hardware-efficient encoding scheme that uses both qubits and bosonic degrees of freedom. Our trapped-ion device accurately simulates the dynamics of nonadiabatic chemical processes, which are among the most difficult problems in computational chemistry because they involve strong coupling between electronic and nuclear motions. We demonstrate the programmability and versatility of our approach by simulating the dynamics of three different molecules, as well as open-system dynamics in the condensed phase, all with the same quantum resources. Our approach requires orders of magnitude fewer resources than equivalent qubit-only quantum simulations, demonstrating the potential of using hybrid encoding schemes to accelerate quantum simulations of complex chemical processes, which could have applications in fields ranging from energy conversion and storage to biology and drug design.

Journal of the American Chemical SocietyVol. 147(27)
The University of Sydney (AU), Dalhousie University (CA), Paul Scherrer Institute (CH), ETH Zurich (CH), ARC Centre of Excellence for Engineered Quantum Systems (AU), Quantum Technologies (Sweden) (SE)
Lockheed Martin, Harley-Davidson Motor Company, University of Sydney, Australian Research Council, Air Force Office of Scientific Research, Army Research Office, Office of Naval Research Global
Openalex Percentile: Top 0%
Quantum Computing Algorithms and Architecture
34.73
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