Eliana Fiorelli
Quantum accelerated approach to the thermal state of classical all-to-all connected spin systems with applications to pattern retrieval in the Hopfield neural network
Fiorelli, Eliana; Rotondo, Pietro; Marcuzzi, Matteo; Garrahan, Juan P.; Lesanovsky, Igor
Authors
Pietro Rotondo
MATTEO MARCUZZI MATTEO.MARCUZZI@NOTTINGHAM.AC.UK
Nottingham Research Fellow
JUAN GARRAHAN JUAN.GARRAHAN@NOTTINGHAM.AC.UK
Professor of Physics
IGOR LESANOVSKY IGOR.LESANOVSKY@NOTTINGHAM.AC.UK
Professor of Physics
Abstract
We explore the question as to whether quantum effects can yield a speedup of the nonequilibrium evolution of fully connected quadratic spin models towards a classical thermal state. In our approach we exploit the fact that the thermal state of a spin system can be mapped onto a node-free quantum state whose coefficients are given by thermal weights. This perspective permits the construction of a dissipative yet quantum dynamics which encodes in its stationary state the thermal state of the original problem. We show for the case of an all-to-all connected Ising spin model that an appropriate transformation of this dissipative dynamics allows us to interpolate between a regime in which the order parameter obeys the classical equations of motion under Glauber dynamics and a quantum regime with an accelerated transient timescale before approaching stationarity. We show that this effect enables, in principle, a speedup of pattern retrieval in a Hopfield neural network.
Citation
Fiorelli, E., Rotondo, P., Marcuzzi, M., Garrahan, J. P., & Lesanovsky, I. (2019). Quantum accelerated approach to the thermal state of classical all-to-all connected spin systems with applications to pattern retrieval in the Hopfield neural network. Physical Review A, 99(3), Article 032126. https://doi.org/10.1103/physreva.99.032126
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 11, 2019 |
Online Publication Date | Mar 29, 2019 |
Publication Date | Mar 29, 2019 |
Deposit Date | Apr 30, 2019 |
Publicly Available Date | Apr 30, 2019 |
Journal | Physical Review A |
Print ISSN | 2469-9926 |
Electronic ISSN | 2469-9934 |
Publisher | American Physical Society |
Peer Reviewed | Peer Reviewed |
Volume | 99 |
Issue | 3 |
Article Number | 032126 |
DOI | https://doi.org/10.1103/physreva.99.032126 |
Public URL | https://nottingham-repository.worktribe.com/output/1873704 |
Publisher URL | https://journals.aps.org/pra/abstract/10.1103/PhysRevA.99.032126 |
Additional Information | Quantum accelerated approach to the thermal state of classical all-to-all connected spin systems with applications to pattern retrieval in the Hopfield neural network, Eliana Fiorelli, Pietro Rotondo, Matteo Marcuzzi, Juan P. Garrahan, and Igor Lesanovsky, Phys. Rev. A 99, 032126. |
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Quantum accelerated approach to the thermal state of classical spin systems with applications to pattern-retrieval in the Hopfield neural network
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