
Contributed Talk 4a
contributed
Thu, 28 Aug 2025, 12:15 - 12:35
- Experimental Private Quantum SensingNicolas Laurent-Puig (Sorbonne Université, CNRS, LIP6); Laura dos Santos Martins (Sorbonne Université, CNRS, LIP6); Luis Bugalho (Instituto Superior Técnico, Universidade de Lisboa, Portugal); Santiago Scheiner (Sorbonne Université, CNRS, LIP6); Majid Hassani (Instituut-Lorentz, Universiteit Leiden, P.O. Box 9506, 2300 RA Leiden, The Netherlands); Sean Moore (Sorbonne Université, CNRS, LIP6); Damian Markham (Sorbonne Université, CNRS, LIP6); Eleni Diamanti (Sorbonne Université, CNRS, LIP6)[abstract]Abstract: Quantum sensors are powerful tools for measuring physical quantities with high sensitivity, enabling, for instance, the mapping of Earth’s gravitational field , detecting very small changes of magnetic fields, or the passage of time. The underlying principle is to use a quantum state as a probe that interacts with the physical quantity of interest, thereby encoding relevant information into the state. Although individual quantum sensors may exhibit remarkable sensitivity, the precision of a certain measurement can be significantly enhanced when multiple probes are entangled. Distributed quantum sensing extends this further and leverages entanglement among spatially separated sensors, allowing them to function as a single, coherent system. This approach enables measurements across extended spatial regions, while surpassing the precision achievable by independent sensors. However, a significant challenge in a network setting is ensuring that sensors deployed across different parties serve as the necessary resources for the correct functioning of the target sensing task. This challenge has motivated the combination of quantum cryptography with quantum sensing. In this context, Shettell et al. introduced the notion of privacy for sensor networks, ensuring that, beyond the metrological advantage of cooperative estimation of a global function, parties can also maintain the privacy of their local information and control what data is accessible to others. In this work, we adopt this protocol and focus on a multi-user quantum sensor network framework to analyze the privacy aspects of this parameter estimation task, leveraging a high-quality four-party GHZ state source.