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HyNNet NISQ: Hybrid quantum-classical neural networks for the characterization of noisy intermediate scale quantum computers

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  • Horizon Europe
  • 1 Sep 2023 to 30 Nov 2025
  • Germany

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OpenAIRE links 4 publications to grant 101108476.

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HyNNet NISQ is a Horizon Europe project (call HORIZON-MSCA-2022-PF-01) coordinated by Friedrich-Alexander-Universitaet Erlangen-Nuernberg (Germany). 2 participating organisation(s) in 2 countries. EU maximum contribution EUR 218,667; total cost EUR 0. Runs 2023-09-01 to 2025-11-30 (status: signed).

Original source.

Source: CORDIS, Publications Office of the European Union (CORDIS). Retrieved 2026-10-16. Licence: European Commission reuse notice (Decision 2011/833/EU). Selected administrative metadata, adapted presentation. No endorsement by the source is implied. Licence: European Commission reuse policy (Decision 2011/833/EU).

AI-assisted summary: HyNNet NISQ is a Horizon Europe project coordinated by Friedrich-Alexander-Universitaet Erlangen-Nuernberg in Germany, focusing on hybrid quantum-classical neural networks. The project runs from September 1, 2023, to November 30, 2025, with an EU contribution of EUR 218,667. Suggested technology pillar: computing. Generated by AI from the public source text; it may contain errors and the original source is authoritative.

Source: cordis.europa.eu · checked 16 Oct 2026 · AI-assisted summary

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