Variational neural annealing-Reference-Cited by-同舟云学术

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Variational neural annealing

Published:2021-10-25 Issue:11 Volume:3 Page:952-961
ISSN:2522-5839
Container-title:Nature Machine Intelligence
language:en
Short-container-title:Nat Mach Intell

Author:

Hibat-Allah Mohamed^ORCID,Inack Estelle M.,Wiersema Roeland,Melko Roger G.^ORCID,Carrasquilla Juan

Funder

Compute Canada

Government of Canada

Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada

Canada Research Chairs

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software

Link

https://www.nature.com/articles/s42256-021-00401-3.pdf

Reference53 articles.

1. Lucas, A. Ising formulations of many NP problems. Front. Phys. 2, 5 (2014).

2. Barahona, F. On the computational complexity of Ising spin glass models. J. Phys. A Math. Gen. 15, 3241–3253 (1982).

3. Kirkpatrick, S., Gelatt, C. D. & Vecchi, M. P. Optimization by simulated annealing. Science 220, 671–680 (1983).

4. Koulamas, C., Antony, S. & Jaen, R. A survey of simulated annealing applications to operations research problems. Omega 22, 41–56 (1994).

5. Hajek, B. A tutorial survey of theory and applications of simulated annealing. In 1985 24th IEEE Conference on Decision and Control 755–760 (IEEE, 1985).

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