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Grant support

The project that gave rise to these results received the support of a fellowship from "la Caixa" Foundation (ID 100010434). The fellowship code is LCF/BQ/DR20/11790028. This work has also been partially supported by the Spanish Ministry of Science, Innovation and Universities, Gobierno de Espana, under Contract No. PID2021-122711NB-C21. The funders played no role in study design, data collection, analysis and interpretation of data, or the writing of this manuscript.

Analysis of institutional authors

Domingo LAuthorCarlo GAuthorBorondo FCorresponding Author

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June 5, 2023
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Taking advantage of noise in quantum reservoir computing

Publicated to:Scientific Reports. 13 (1): e8790- - 2023-12-01 13(1), DOI: 10.1038/s41598-023-35461-5

Authors: Domingo, L.; Carlo, G.; Borondo, F.

Affiliations

Consejo Nacl Invest Cient & Tecn, Dept Fis, Comis Nacl Energia Atom, Av Libertador 8250, RA-1429 Buenos Aires, Argentina - Author
Departamento de Física, Comisión Nacional de Energía Atómica, CONICET, Av. del Libertador 8250, 1429, Buenos Aires, Argentina. - Author
Departamento de Química, Universidad Autónoma de Madrid, Cantoblanco, 28049, Madrid, Spain. - Author
Departamento de Química, Universidad Autónoma de Madrid, Cantoblanco, 28049, Madrid, Spain. f.borondo@uam.es. - Author
Dept Quim, Univ Autonoma Madrid, Madrid 28049, Spain - Author
Grupo de Sistemas ComplejosUniversidad Politécnica de Madrid, 28035, Madrid, Spain. - Author
Inst Ciencias Matemat ICMAT, Campus Cantoblanco,Nicolas Cabrera 13-15, Madrid 28049, Spain - Author
Nicolás Cabrera, 13-15, 28049, Madrid, Spain. - Author
Univ Politecn Madrid, Grp Sistemas Complejos, Madrid 28035, Spain - Author
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Abstract

The biggest challenge that quantum computing and quantum machine learning are currently facing is the presence of noise in quantum devices. As a result, big efforts have been put into correcting or mitigating the induced errors. But, can these two fields benefit from noise? Surprisingly, we demonstrate that under some circumstances, quantum noise can be used to improve the performance of quantum reservoir computing, a prominent and recent quantum machine learning algorithm. Our results show that the amplitude damping noise can be beneficial to machine learning, while the depolarizing and phase damping noises should be prioritized for correction. This critical result sheds new light into the physical mechanisms underlying quantum devices, providing solid practical prescriptions for a successful implementation of quantum information processing in nowadays hardware.© 2023. The Author(s).

Keywords

States

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Scientific Reports due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2023, it was in position 25/134, thus managing to position itself as a Q1 (Primer Cuartil), in the category Multidisciplinary Sciences.

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 15.93, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Aug 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-08-03, the following number of citations:

  • WoS: 2
  • Scopus: 10

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-08-03:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 29.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 34 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 48.85.
  • The number of mentions on the social network X (formerly Twitter): 5 (Altmetric).
  • The number of mentions in news outlets: 5 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://repositorio.uam.es/handle/10486/714353

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Argentina.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (DOMINGO COLOMER, LAIA) and Last Author (BORONDO RODRIGUEZ, FLORENTINO).

the author responsible for correspondence tasks has been BORONDO RODRIGUEZ, FLORENTINO.