Please use this identifier to cite or link to this item: http://hdl.handle.net/10497/23944
Title: 
Authors: 
Keywords: 
Excitons
Algorithms
Molecular dynamics simulations
Hamiltonians
Molecules
Issue Date: 
2022
Citation: 
Lee, C.-K., Lau, J. W. Z., Shi, L., & Kwek, L. C. (2022). Simulating energy transfer in molecular systems with digital quantum computers. Journal of Chemical Theory and Computation, 18(3), 1347-1358. https://doi.org/10.1021/acs.jctc.1c01296
Journal: 
Journal of Chemical Theory and Computation
Abstract: 
Quantum computers have the potential to simulate chemical systems beyond the capability of classical computers. Recent developments in hybrid quantum-classical approaches enable the determinations of the ground or low energy states of molecular systems. Here, we extend near-term quantum simulations of chemistry to time-dependent processes by simulating energy transfer in organic semiconducting molecules. We developed a multiscale modeling workflow that combines conventional molecular dynamics and quantum chemistry simulations with hybrid variational quantum algorithm to compute the exciton dynamics in both the single excitation subspace (i.e., Frenkel Hamiltonian) and the full-Hilbert space (i.e., multiexciton) regimes. Our numerical examples demonstrate the feasibility of our approach, and simulations on IBM Q devices capture the qualitative behaviors of exciton dynamics, but with considerable errors. We present an error mitigation technique that combines experimental results from the variational and Trotter algorithms, and obtain significantly improved quantum dynamics. Our approach opens up new opportunities for modeling quantum dynamics in chemical, biological, and material systems with quantum computers.
URI: 
ISSN: 
1549-9618 (print)
1549-9626 (online)
DOI: 
File Permission: 
None
File Availability: 
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