quantum shadows: scalable quantum-to-classical converters

Project funded by Austrian Science Fund (FWF) (FWF START Awards), research institution: Universität Linz. Approved FWF funding: EUR 1,200,000, as stated by the source. Runs 2024-07-01 to 2027-06-30 (status: ongoing). Keywords: Quantum Computing, Quantum Simulation, Statistical Learning Theory, Quantum Information Theory, Machine Learning, Quantum Many-Body Physics. Source: FWF Research Radar (FWF Open API) (national funding data, not CORDIS).

Original source.

Source: FWF Research Radar (FWF Open API), Austrian Science Fund (FWF). Retrieved 2026-10-21. Licence: CC0 1.0 (FWF Open API data). 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 "quantum shadows: scalable quantum-to-classical converters" is funded by the Austrian Science Fund with EUR 1,200,000 and runs from July 1, 2024, to June 30, 2027. It involves research at Universität Linz and focuses on various quantum-related fields. Suggested technology pillar: computing. Generated by AI from the public source text; it may contain errors and the original source is authoritative.