FLoSS | Fundamental Limits of Sensing Systems

Summary
This project derives information-theoretic fundamental limits and tradeoffs of classical and quantum distributed sensing (detection and estimation) systems, which are key in the Industry 4.0, smart cities, environmental applications, autonomous vehicles, etc. Our limits will: 1) serve as benchmarks for practical designs; 2) characterize the inherent tradeoffs; and 3) provide engineering guidelines. So far, a technique is missing that can derive the limits of modern distributed sensing systems with multiple decision centers, multiple objectives, and interactive and sequential behaviours. For the emerging  field of quantum sensing even the limits of simple distributed systems have not been derived. With our recent converse proof technique (which already served to establish limits of detection, channel coding, and compression problems) we have a powerful tool for obtaining the desired strong or probability-of-error dependent converse proofs.
Unfold all
/
Fold all
More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/101125691
Start date: 01-06-2024
End date: 31-05-2029
Total budget - Public funding: 1 994 961,00 Euro - 1 994 961,00 Euro
Cordis data

Original description

This project derives information-theoretic fundamental limits and tradeoffs of classical and quantum distributed sensing (detection and estimation) systems, which are key in the Industry 4.0, smart cities, environmental applications, autonomous vehicles, etc. Our limits will: 1) serve as benchmarks for practical designs; 2) characterize the inherent tradeoffs; and 3) provide engineering guidelines. So far, a technique is missing that can derive the limits of modern distributed sensing systems with multiple decision centers, multiple objectives, and interactive and sequential behaviours. For the emerging  field of quantum sensing even the limits of simple distributed systems have not been derived. With our recent converse proof technique (which already served to establish limits of detection, channel coding, and compression problems) we have a powerful tool for obtaining the desired strong or probability-of-error dependent converse proofs.

Status

SIGNED

Call topic

ERC-2023-COG

Update Date

12-03-2024
Images
No images available.
Geographical location(s)
Structured mapping
Unfold all
/
Fold all
Horizon Europe
HORIZON.1 Excellent Science
HORIZON.1.1 European Research Council (ERC)
HORIZON.1.1.0 Cross-cutting call topics
ERC-2023-COG ERC CONSOLIDATOR GRANTS
HORIZON.1.1.1 Frontier science
ERC-2023-COG ERC CONSOLIDATOR GRANTS