Next generation quantum reservoir computing

Project funded by Research Council of Finland, grant 348854. Participating organisations named by the source: University of Turku. Funded amount: EUR 239,970, as stated by the source. Runs 2022-09-01 to 2025-08-31. Keywords: Physical sciences. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2026-07-23); national funding data, not CORDIS. Abstract given by the source: So called reservoir computing is a relatively new form of unconventional computing where information processing is harvested from generic physical systems somewhat like energy can be harvested from them. It is closely related to machine learning and in particular to processing of temporal signals. In recent years research on how quantum systems can be harnessed for reservoir computing has begun. On the theoretical side formal universality proofs have been put forward, whereas on the experimental side proof-of-principle experiments have been reported on the IBM quantum computers. The greatest challenges originate from the rather direct application of principles from the classical reservoir computing to quantum systems. The proposed research takes the field to a new level by following two previously missing research avenues: i) reservoir computing with quantum systems from the principles of quantum physics ii) reservoir computing for quantum information processing.

Original source.

Source: OpenAIRE Graph: projects of national funders, OpenAIRE, from the project data of Research Council of Finland. Retrieved 2026-10-28. Licence: Creative Commons Attribution 4.0 (OpenAIRE Graph). Selected metadata, adapted presentation; the publisher's record is authoritative. No endorsement by the source is implied. Licence: Creative Commons Attribution 4.0 (CC BY 4.0).

AI-assisted summary: The project 'Next generation quantum reservoir computing' is funded by the Research Council of Finland with a grant of EUR 239,970, running from September 1, 2022, to August 31, 2025, involving the University of Turku. It explores the application of reservoir computing principles to quantum systems. Suggested technology pillar: computing. Generated by AI from the public source text; it may contain errors and the original source is authoritative.