Development and implementation of effective, quantum computer-inspired methods of performing complex calculations on classical (non-quantum) annealers built on specialised integrated circuits (ASICs).

Operation co-funded by EU cohesion policy (European Regional Development Fund (ERDF)) under the programme Smart growth - PL - ERDF (2014PL16RFOP001), managing authority: Ministerstwo obsługujące ministra właściwego ds. rozwoju regionalnego. The source names no beneficiary for this operation. Location: Kraków (NUTS PL213); Poland. Budget: total eligible expenditure EUR 2,642,280.27; EU co-financing EUR 1,983,950.54 (co-financing rate 75.08%), as stated by the source. Runs 2021-01-01 to 2023-12-31. Source: Kohesio, EU cohesion policy projects managed by national and regional authorities (not CORDIS). Summary from Kohesio (English machine translation by the source): Methods for obtaining power gains on universal computers (CPUs) are limited by the collapse of Moore 'a. The aim of the project is to conduct industrial research to develop optimisation methods using non-standard computational paradigms. The research is planned on the basis of the existing BEIT results for quantum annealers, they are critical to the acquisition of new knowledge and skills to develop computational methods, using the method of simulated annealing on specialised systems. In 2019, alongside the already known quantum annealers (D-Wave), classic annealers of Toshiba, Fujitsu (8192 nodes) and NECA appeared. As a result of the project POIR.01.01.01-00-0568/16, BEIT Sp. z o.o. created a unique IP in designing solutions for the D-Wave optimiser, which we can develop by designing solutions for classic annealers, useful before quantum ones reach a scale justifying their widespread use. This project will significantly increase the computing power of ASICs-based computing infrastructure, as a result of most industries, business and finance. The main target group is banks and other commercial enterprises that solve optimisation problems with a large number of parameters – companies (Rolls Royce, BofA et al.) come to us with such a need. Our solution also helps to reduce the demand for energy consumed by large computing centers — manufacturers and operators are the intermediate target group in this project (Amazon, Microsoft). Number_reference_aid_programme: SA.41471(2015/X) Purpose of public aid: art: 25 EC Regulation No 651/2014 of 17 June 2014 declaring certain categories of aid compatible with the internal market in the application of Articles 107 and 108 of the Treaty (OJ L 119, p. That’s it. EU L 187/1 of 26.06.2014).

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 project focuses on developing quantum computer-inspired methods for complex calculations on classical annealers using ASICs, co-funded by the EU with a budget of EUR 2,642,280.27. It runs from January 1, 2021, to December 31, 2023, in Kraków, Poland. Suggested technology pillar: computing. Generated by AI from the public source text; it may contain errors and the original source is authoritative.