Natural quantum reservoir computing for temporal information processing

Yudai Suzuki, Qi Gao, Ken C. Pradel, Kenji Yasuoka, Naoki Yamamoto

Research output: Contribution to journalArticlepeer-review

Abstract

Reservoir computing is a temporal information processing system that exploits artificial or physical dissipative dynamics to learn a dynamical system and generate the target time-series. This paper proposes the use of real superconducting quantum computing devices as the reservoir, where the dissipative property is served by the natural noise added to the quantum bits. The performance of this natural quantum reservoir is demonstrated in a benchmark time-series regression problem and a practical problem classifying different objects based on temporal sensor data. In both cases the proposed reservoir computer shows a higher performance than a linear regression or classification model. The results indicate that a noisy quantum device potentially functions as a reservoir computer, and notably, the quantum noise, which is undesirable in the conventional quantum computation, can be used as a rich computation resource.

Original languageEnglish
Article number1353
JournalScientific reports
Volume12
Issue number1
DOIs
Publication statusPublished - 2022 Dec

ASJC Scopus subject areas

  • General

Fingerprint

Dive into the research topics of 'Natural quantum reservoir computing for temporal information processing'. Together they form a unique fingerprint.

Cite this