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Free versus Bound Entanglement in High Dimensional Systems

Image: Craig Mayhew and Robert Simmon, NASA GSFC, public domain, via Wikimedia Commons (licence). Cropped and resized. Image credits
  • Austrian Science Fund (FWF)
  • 1 Nov 2022 to 31 Mar 2026

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Project funded by Austrian Science Fund (FWF) (Principal Investigator Projects), research institution: Universität Wien. Approved FWF funding: EUR 150,160, as stated by the source. Runs 2022-11-01 to 2026-03-31 (status: ended). Keywords: Bound And Free Entanglement, High Dimensional Quantum Systems, Machine Learning. Source: FWF Research Radar (FWF Open API) (national funding data, not CORDIS); selected because its keywords name quantum technology.

Original source.

Source: FWF Research Radar (FWF Open API), Austrian Science Fund (FWF). Retrieved 2026-10-28. 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 "Free versus Bound Entanglement in High Dimensional Systems" was funded by the Austrian Science Fund with EUR 150,160, running from November 1, 2022, to March 31, 2026. It focuses on bound and free entanglement in high dimensional quantum systems and machine learning. Suggested technology pillar: enabling. Generated by AI from the public source text; it may contain errors and the original source is authoritative.

Source: fwf.ac.at · checked 28 Oct 2026 · AI-assisted summary