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Cited by 644

The DOI matches its Crossref record.

Quantum annealing: A new method for minimizing multidimensional functions

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Finnila, A.B., Gomez, M.A., Sebenik, C., Stenson, C., Doll, J.D.·1994·Chemical Physics Letters
DOI 10.1016/0009-2614(94)00117-0
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Abstract

Abstract Quantum annealing is a new method for finding extrema of multidimensional functions. Based on an extension of classical, simulated annealing, this approach appears robust with respect to avoiding local minima. Further, unlike some of its predecessors, it does not require an approximation to a wavefunction. We apply the technique to the problem of finding the lowest energy configurations of Lennard-Jones clusters of up to 19 particles (roughly 105 local minima). This early success suggests that this method may complement the widely implemented technique of simulated annealing.

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Metadata

Authors
Finnila, A. B., Gomez, M. A., Sebenik, C., Stenson, C., & Doll, J. D.
Venue
Chemical Physics Letters
Publisher
Elsevier BV
Published
1994-03
Volume
219
Issue
5-6
Pages
343-348
ISSN
0009-2614 (ISSN-L)
DOI
10.1016/0009-2614(94)00117-0
OpenAlex
W2058599268
Cited by
644
References
0
FWCI
8.66
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Quantum annealing: A new method for minimizing multidimensional functions. https://app.cochat.ai/papers/10.1016/0009-2614(94)00117-0
The paper
Finnila, A. B., Gomez, M. A., Sebenik, C., Stenson, C., & Doll, J. D. (1994). Quantum annealing: A new method for minimizing multidimensional functions. Chemical Physics Letters. https://doi.org/10.1016/0009-2614(94)00117-0

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.