Quantum RAW — Design of the optimising algorithm in quantum computing environment

Operation co-funded by EU cohesion policy (European Regional Development Fund (ERDF)) under the programme Competitiveness and Cohesion - HR - ERDF/CF (2014HR16M1OP001), managing authority: Ministarstvo regionalnoga razvoja i fondova Europske unije. The source names no beneficiary for this operation. Location: Grad Zagreb (NUTS HR050); Croatia. Budget: total eligible expenditure EUR 14,040; EU co-financing EUR 9,750 (co-financing rate 85%), as stated by the source. Runs 2020-09-25 to 2020-12-24. Source: Kohesio, EU cohesion policy projects managed by national and regional authorities (not CORDIS). Summary from Kohesio (English machine translation by the source): The main objective of the Quantum RAW project is to explore the potential of quantum computing in the field of electricity budgets, namely to explore possible implementation and design channels of the optimisation algorithm currently used in the areas of electricity budget in a quantum computing environment. In the light of the above, the Project is designed to cooperate as a cooperation of Uprise d.o.o. and senior professionals in the field of quantum physics, where their role in the project itself is crucial, as their contribution is foreseen when establishing mathematical links between existing traditional algorithms and quantum models, whose mathematical structure would improve existing solutions.

Original source.

Source: Kohesio (EU cohesion policy projects), European Commission, Directorate-General for Regional and Urban Policy (DG REGIO). Retrieved 2026-10-21. Licence: CC0 1.0 (Cohesion Open Data Platform, dataset 2014-2020 Kohesio projects). Selected metadata, adapted presentation; the publisher's record is authoritative. No endorsement by the source is implied. Licence: public domain dedication (CC0 1.0).

AI-assisted summary: The Quantum RAW project, co-funded by the EU, aims to explore quantum computing applications in electricity budget optimization. It runs from September 25, 2020, to December 24, 2020, with a total budget of EUR 14,040, including EUR 9,750 from EU co-financing. Suggested technology pillar: computing. Generated by AI from the public source text; it may contain errors and the original source is authoritative.