ArticleScientific reports2022
Natural quantum reservoir computing for temporal information processing.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Versatile and Robust Reservoir Computing with PWM-Driven Heterogenous R-C Circuits.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- How quantum computing can enhance biomarker discovery.Patterns (New York, N.Y.) · 2025Review
- Microwave signal processing using an analog quantum reservoir computer.Nature communications · 2024Article
- Overcoming the coherence time barrier in quantum machine learning on temporal data.Nature communications · 2024Article
- Article
- Optimizing quantum noise-induced reservoir computing for nonlinear and chaotic time series prediction.Scientific reports · 2023Article
- Near-Sensor Reservoir Computing for Gait Recognition via a Multi-Gate Electrolyte-Gated Transistor.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.