Crossref journal-article
AIP Publishing
The Journal of Chemical Physics (317)
Abstract

A new unbiased global optimization approach is proposed, based on quantum staging path integral Monte Carlo sampling and local minimization of individual imaginary time slices. This algorithm uses the quantum tunneling effect to speed up the crossing of energy barriers. This method differs in important ways from previous work on quantum annealing and is able to find all the global minima of Lennard-Jones clusters of size up to N=100, except for N=76, 77, and 98. The comparison between this new algorithm and several other classes of algorithms is presented.

Bibliography

Liu, P., & Berne, B. J. (2003). Quantum path minimization: An efficient method for global optimization. The Journal of Chemical Physics, 118(7), 2999–3005.

Authors 2
  1. Pu Liu (first)
  2. B. J. Berne (additional)
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Dates
Type When
Created 22 years, 6 months ago (Feb. 10, 2003, 11:22 a.m.)
Deposited 1 year, 6 months ago (Feb. 7, 2024, 3:39 p.m.)
Indexed 1 year, 6 months ago (Feb. 7, 2024, 4:12 p.m.)
Issued 22 years, 6 months ago (Feb. 15, 2003)
Published 22 years, 6 months ago (Feb. 15, 2003)
Published Print 22 years, 6 months ago (Feb. 15, 2003)
Funders 0

None

@article{Liu_2003, title={Quantum path minimization: An efficient method for global optimization}, volume={118}, ISSN={1089-7690}, url={http://dx.doi.org/10.1063/1.1527919}, DOI={10.1063/1.1527919}, number={7}, journal={The Journal of Chemical Physics}, publisher={AIP Publishing}, author={Liu, Pu and Berne, B. J.}, year={2003}, month=feb, pages={2999–3005} }