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Microwave signal processing using an analog quantum reservoir computer

Physics

Microwave signal processing using an analog quantum reservoir computer

A. Senanian, S. Prabhu, et al.

Dive into groundbreaking research by Alen Senanian and colleagues as they explore a quantum superconducting circuit's potential in microwave signal classification tasks. This innovative approach processes analog signals directly, paving the way for ultra-low-power quantum sensing.

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Playback language: English
Abstract
This paper demonstrates the use of a quantum superconducting circuit as an analog quantum reservoir for microwave signal classification tasks. The system, comprising an oscillator coupled to a qubit, processes analog-continuous signals directly, avoiding the discretization required in previous digital QRC implementations. High accuracy was achieved across various classification tasks, suggesting a potential path towards quantum sensing-computational advantage for ultra-low-power microwave signals.
Publisher
Nature Communications
Published On
Aug 30, 2024
Authors
Alen Senanian, Sridhar Prabhu, Vladimir Kremenetski, Saswata Roy, Yingkang Cao, Jeremy Kline, Tatsuhiro Onodera, Logan G. Wright, Xiaodi Wu, Valla Fatemi, Peter L. McMahon
Tags
quantum superconducting circuit
microwave signal classification
analog-continuous signals
quantum reservoir computing
sensing-computational advantage
low-power technology
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