Coherent Ising Machines with Error Correction Feedback
Abstract: A nonequilibrium open‐dissipative neural network, such as a coherent Ising machine based on mutually coupled optical parametric oscillators, has been proposed and demonstrated as a novel computing machine for hard combinatorial optimization problems. However, there is a challenge in the previously proposed approach: The machine can be trapped by local minima which increases exponentially with a problem size. This leads to erroneous solutions rather than correct answers. In this paper, it is shown that it is possible to overcome this problem partially by introducing error detection and correction feedback mechanism. The proposed machine achieves efficient sampling of degenerate ground states and low‐energy excited states via its inherent exploration property during a solution search process.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Coherent Ising Machines with Error Correction Feedback ; volume:3 ; number:11 ; year:2020 ; extent:14
Advanced quantum technologies ; 3, Heft 11 (2020) (gesamt 14)
- Creator
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Kako, Satoshi
Leleu, Timothée
Inui, Yoshitaka
Khoyratee, Farad
Reifenstein, Sam
Yamamoto, Yoshihisa
- DOI
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10.1002/qute.202000045
- URN
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urn:nbn:de:101:1-2022062909182693184175
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:37 AM CEST
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Associated
- Kako, Satoshi
- Leleu, Timothée
- Inui, Yoshitaka
- Khoyratee, Farad
- Reifenstein, Sam
- Yamamoto, Yoshihisa
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Publisher Correction: Coherent Ising machines—optical neural networks operating at the quantum limit
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Effective implementation of $$\textL}{0}$$ L 0 -regularised compressed sensing with chaotic-amplitude-controlled coherent Ising machines
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