Boosting Computational Power through Spatial Multiplexing in Quantum Reservoir Computing

Nakajima, Kohei; Fujii, Keisuke; Negoro, Makoto et al.

Physical Review Applied, 2019, 11(3), 034021

Number of Access:1,025（2025-07-19 19:07 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/77643

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Title
Boosting Computational Power through Spatial Multiplexing in Quantum Reservoir Computing
Creator
NRID
1000010740251 1000010740251
CreatorName
Nakajima, Kohei
NRID
1000040708640 1000040708640
ORCID
0000-0003-0390-9984 0000-0003-0390-9984
researchmap permalink
7000009401 7000009401
Scopus Author ID
57204923718 57204923718
CreatorName
Fujii, Keisuke
NRID
1000070611549 1000070611549
researchmap permalink
DNPne56 DNPne56
Scopus Author ID
36553027400 36553027400
CreatorName
Negoro, Makoto
NRID
1000050855111 1000050855111
ORCID
0000-0002-9056-316X 0000-0002-9056-316X
researchmap permalink
kosuke-mitarai kosuke-mitarai
Scopus Author ID
57203861251 57203861251
CreatorName
Mitarai, Kosuke
NRID
1000020252629 1000020252629
ORCID
0000-0002-7434-6472 0000-0002-7434-6472
researchmap permalink
read0079549 read0079549
Scopus Author ID
8326938600 8326938600
CreatorName
Kitagawa, Masahiro
Abstract
Quantum reservoir computing provides a framework for exploiting the natural dynamics of quantum systems as a computational resource. It can implement real-time signal processing and solve temporal machine-learning problems in general, which requires memory and nonlinear mapping of the recent input stream using the quantum dynamics in the computational supremacy region, where the classical simulation of the system is intractable. A nuclear-magnetic-resonance spin-ensemble system is one of the realistic candidates for such physical implementations, which is currently available in laboratories. In this paper, considering these realistic experimental constraints for implementing the framework, we introduce a scheme, which we call a spatial multiplexing technique, to effectively boost the computational power of the platform. This technique exploits disjoint dynamics, which originate from multiple different quantum systems driven by common input streams in parallel. Accordingly, unlike designing a single large quantum system to increase the number of qubits for computational nodes, it is possible to prepare a huge number of qubits from multiple but small quantum systems, which are operationally easy to handle in laboratory experiments. We numerically demonstrate the effectiveness of the technique using several benchmark tasks and quantitatively investigate its specifications, range of validity, and limitations in detail.
Publisher
American Physical Society
Source Title
Physical Review Applied
Volume (Issue)
11(3)
Page
034021
Date of Issued
2019-03-08
Language
English
Handle URL
https://hdl.handle.net/11094/77643
eISSN
23317019
Relation.isIdenticalTo
DOI (Publisher Version)
https://doi.org/10.1103/PhysRevApplied.11.034021
Access Rights
open access
CopyRight
Copyright (2019) by the American Physical Society
oaire:version
Version of Record
Category
学術雑誌論文 Journal Article