Interdisciplinary cooperation in metrology with cold quantum objects and fibre networks

Operation co-funded by EU cohesion policy (European Regional Development Fund (ERDF)) under the programme Research Development and Education - CZ - ESF/ERDF (2014CZ05M2OP001), managing authority: MŠMT/odbor Řídicího orgánu OP VVV. The source names no beneficiary for this operation. Location: South Moravian Region (NUTS CZ064); Czechia. Budget: total eligible expenditure EUR 3,685,892.54; EU co-financing EUR 3,133,008.66 (co-financing rate 85%), as stated by the source. Runs 2019-01-01 to n/a. Source: Kohesio, EU cohesion policy projects managed by national and regional authorities (not CORDIS); selected because its title uses a quantum word. Summary from Kohesio (English machine translation by the source): We present the project of creating a partner network focused on intersectoral cooperation between research organisations and industrial enterprise focusing on the development of quantum technologies in the Czech Republic. The project will start joint research in metrology with cold quantum objects oriented towards applications for new photonic services and will also contribute to increasing the competitiveness of the Czech industry in the field of telecommunications and photonics. a.

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 aims to establish a partner network for cooperation between research organizations and industry in quantum technology development in the Czech Republic. It focuses on metrology with cold quantum objects and enhancing competitiveness in telecommunications and photonics. Suggested technology pillar: sensing. Generated by AI from the public source text; it may contain errors and the original source is authoritative.