Towards Quantum Sensor Networks

Project funded by Fundação para a Ciência e a Tecnologia, I.P. (FCT), grant 2021.05268.BD. Runs 2021-10-01 to 2025-09-30. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2025-07-18); national funding data, not CORDIS. Abstract given by the source: This project aims at harnessing the potential quantum advantage associated with the deployment of bipartite and multipartite entanglement over quantum networks. This comes in line with current developments in quantum sensor networks, whose advantage is potentiated by the distribution of multipartite entanglement. The main focuses of this project will concern the description and characterisation of these type of networks, as well as studying some of the possible applications that come along in a paradigmatic manner. This will include creating new protocols that fully exploit this particular type of entanglement in quantum sensing problems and fully determine the impact of important parameters, such as noise, in different use cases. Moreover, we will also concern extending applications of quantum sensor networks to other scenarios that share close resemblance in the problem setting, for example, routing algorithms that optimize a quantum network parameter.

Original source.

Source: OpenAIRE Graph: projects of national funders, OpenAIRE, from the project data of Fundação para a Ciência e a Tecnologia, I.P. (FCT). Retrieved 2026-10-22. Licence: Creative Commons Attribution 4.0 (OpenAIRE Graph). Selected metadata, adapted presentation; the publisher's record is authoritative. No endorsement by the source is implied. Licence: Creative Commons Attribution 4.0 (CC BY 4.0).

AI-assisted summary: The project "Towards Quantum Sensor Networks" is funded by FCT and runs from October 1, 2021, to September 30, 2025. It aims to explore the use of bipartite and multipartite entanglement in quantum networks and develop new protocols for quantum sensing applications. Suggested technology pillar: sensing. Generated by AI from the public source text; it may contain errors and the original source is authoritative.