Jarn de Jong

Quantum networks have recently generated significant interest due to enhanced functionalities and security, including offering the capability to securely calculate a linear function of several parameters which themselves remain private. This allows joint estimation of a parameter using the precision advantage of quantum sensing. In this work, we extend the functionality of previously considered schemes to allow for some subset of the network, without sharing their own private network, to carry out parameter estimation together without revealing the identities of participants, either to each other or to the rest of the network, while being guaranteed that only the relevant parties have inputted their parameter.