Quantum computers with constant memory

Operation co-funded by EU cohesion policy (European Regional Development Fund (ERDF)) under the programme Growth and Employment - LV - ERDF/ESF/CF/YEI (2014LV16MAOP001), managing authority: FM. The source names no beneficiary for this operation. Location: Riga (NUTS LV006); Latvia. Budget: total eligible expenditure EUR 119,504.4; EU co-financing EUR 101,578.74 (co-financing rate 85%), as stated by the source. Runs 2020-01-17 to 2021-12-31. Source: Kohesio, EU cohesion policy projects managed by national and regional authorities (not CORDIS). Summary from Kohesio (English machine translation by the source): The main goal of the project is a better understanding of quantum computing in situations where the available memory is very small. New quantum algorithms for specific computing tasks (upper assessments) and proven limitations on quantum computer capabilities (lower evaluations) will be created. Quantum models will be compared with their classic analogues.It is planned to develop new mathematical methods to solve specific unresolved problems in this sector, find new quantum algorithms that show new differences between quantum and classic models and prove new upper assessments and show special simulations to prove new lower assessments. These studies will be carried out under five sub-headings:RT1. Computation with limited error;RT2. Unlimited error computing;RT3. Non-determinate computing;RT4. Complexity of conditions;RT5. Quantum interference modelling. We will explore the possibilities of a quantum computer with constant memory through fundamental concepts of computing theory: Computation with limited and unlimited split points, undetected computing and complexity of states.Marie Curie Fellow will learn new mathematical methods and new research challenges. He will collaborate with experienced researchers at the University of Latvia (hosting organisation for students) and its partner organisations. He will have the opportunity to lead a small research group made up of students, developing his teaching and student management skills. Total project amount: EUR 119504,40 (ERDF funding 85 % – EUR 101578,74, State budget funding 15 % – EUR 17925,66)Time of project implementation – 24 months (January 2020 – December 2021)Project implementation corresponding:NACE code – 74.90 – Professional, scientific and technical services not elsewhere classified.OECD Sectoral Classification Code of Science and Technology – 1.2. Computer science and information science.

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, co-funded by the EU, aims to enhance understanding of quantum computing with limited memory, developing new algorithms and mathematical methods. It runs from January 17, 2020, to December 31, 2021, with a budget of EUR 119,504.4. Suggested technology pillar: computing. Generated by AI from the public source text; it may contain errors and the original source is authoritative.