Work

A no-go theorem for privacy in distributed sensing using Gaussian states

Year: 2026

Type: preprint

Abstract: In the discrete variable setting, entangled resource states allow a set of parties to learn a global function of a set of spatially separated systems, whilst keeping the local parameters of those systems completely private. In the continuous variable setting, distributed sensing has been carried out using Gaussian resource states, but without the same guarantees about privacy. Here, we show that perfect privacy is impossible to achieve for any distributed sensing protocol that uses Gaussian states as a resource. We also introduce a measure of relative privacy, bounding the degree to which any Gaussian distributed sensing protocol can keep local parameters hidden.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2606.23796

Authors: Pereira, Jason L., Markham, Damian

Institutions: Centre National de la Recherche Scientifique, Sorbonne Université, LIP6

Topic: Quantum Information and Cryptography

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: European Commission, Agence Nationale de la Recherche, HORIZON EUROPE Framework Programme

Awards: Scalable Continuous Variable Cluster State Quantum Technologies, Initiative Nationale Hybride HPC Quantique – R&D et Support des communautés, Distributed quantum sensing in a network

OpenAlex ID: W7165731996

Cites:

Cited by:

Related to: