Quantum mechanics can simulate a classical system evolving in (and towards) thermal equilibrium. This finding adds a further ingredient to the story of what problems a computer — classical or quantum — could possibly master.
This is a preview of subscription content, access via your institution
Relevant articles
Open Access articles citing this article.
-
Reinforcement Quantum Annealing: A Hybrid Quantum Learning Automata
Scientific Reports Open Access 14 May 2020
Access options
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Somma, R. D., Batista, C. D. & Ortiz, G. Phys. Rev. Lett. 99, 030603 (2007).
van Kampen, N. G. Stochastic Processes in Physics and Chemistry (North-Holland, 1992).
Parisi, G. Statistical Field Theory (Addison-Wesley, 1988).
Kirkpatrick, S., Gelatt, C. D. Jr & Vecchi, M. P. Science 220, 671–680 (1983).
Das, A. & Chakrabarti, B. K. Quantum Annealing and Related Optimization Methods (Lecture Notes in Physics, Springer, 2005).
Santoro, G. E. & Tosatti, E. J. Phys. A 39, R393–R431 (2006).
Farhi, E., Goldstone, J., Gutmann, S. & Sipser, M. Preprint at <http://arxiv.org/quant-ph/0001106> (2000).
Aharonov, D. et al. Preprint at <http://arxiv.org/quant-ph/0405098> (2004).
Shor, P. W. SIAM J. Comp. 26, 1484–1509 (1997).
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Santoro, G., Tosatti, E. Quantum to classical and back. Nature Phys 3, 593–594 (2007). https://doi.org/10.1038/nphys706
Issue Date:
DOI: https://doi.org/10.1038/nphys706
This article is cited by
-
Reinforcement Quantum Annealing: A Hybrid Quantum Learning Automata
Scientific Reports (2020)
-
Quantum Computing vs. Coherent Computing
New Generation Computing (2012)