Quantum memristors: a new approach to neuromorphic computing

P.A. Forsh^†^a, b, S.Yu. Stremoukhov^‡^a, b, c, A.S. Frolova^a, b, K.Yu. Khabarova^§^b, N.N. Kolachevsky^*^b, d
^aLomonosov Moscow State University, Vorobevy Gory, Moscow, 119991, Russian Federation
^bLebedev Physical Institute, Russian Academy of Sciences, Leninsky prosp. 53, Moscow, 119991, Russian Federation
^cNational Research Centre ‘Kurchatov Institute’, pl. akad. Kurchatova 1, Moscow, 123182, Russian Federation
^dInternational Center for Quantum Optics and Quantum Technologies (the Russian Quantum Center), Skolkovo Innovation Center, Bolshoi Boulevard, Building 30, Block 1, 3rd floor, sectors G3, G7, Moscow, Moscow Region, 121205, Russian Federation

We present a review on quantum memristors, which define a new direction for neuromorphic applications. We discuss the general methodology and concept of constructing a quantum memristor, as well as the possibility of its implementation on photonic platforms, superconducting systems, and ultracold trapped ions. The latter platform is being actively developed at the Lebedev Physical Institute for conducting quantum computations and for building a high-performance quantum computer; it has also proven its worth in creating optical clocks.

Keywords: memristors, quantum computing, neuromorphic systems
PACS: 03.67.−a, 42.50.Dv, 85.25.Cp (all)
DOI: 10.3367/UFNe.2024.06.039698
URL: https://ufn.ru/en/articles/2024/9/b/
Web of Science

001343554500003
Scopus

2-s2.0-85208405312
ADS NASA

2024PhyU...67..855F
Citation: Forsh P A, Stremoukhov S Yu, Frolova A S, Khabarova K Yu, Kolachevsky N N "Quantum memristors: a new approach to neuromorphic computing" Phys. Usp. 67 855–865 (2024)

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Received: 21st, May 2024, revised: 19th, June 2024, accepted: 22nd, June 2024

Оригинал: Форш П А, Стремоухов С Ю, Фролова А С, Хабарова К Ю, Колачевский Н Н «Квантовые мемристоры — новый подход к нейроморфным вычислениям» УФН 194 905–916 (2024); DOI: 10.3367/UFNr.2024.06.039698