2019/07/15 by Peng Yin, Yuki Takeuchi, Wen-Hao Zhang +10
Computer Science · Physics and Astronomy · #Information sensitivity #Key (lock) #Metrology #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Mechanics and Applications #Quantum entanglement #Quantum information #Quantum key distribution #Quantum metrology #Quantum sensor #quant-ph
paper · pdf · doi:10.1103/physrevapplied.14.014065
published as Phys. Rev. Applied 14, 014065 (2020)
arxiv created 2019/07/15 · openalex created_date 2019/07/23 · openalex publication_date 2020/07/22 · arxiv updated 2020/07/29 · openalex updated_date 2026/08/05
Quantum metrology aims to enhance the precision of various measurement tasks by taking advantages of quantum properties. In many scenarios, precision is not the sole target; the acquired information must be protected once it is generated in the sensing process. Considering a remote sensing scenario where a local site performs cooperative sensing with a remote site to collect sensitive information at the remote site, the loss of sensing data inevitably causes sensitive information to be revealed. Quantum key distribution is known to be a reliable solution for secure data transmission; however, it fails if an eavesdropper accesses the sensing data generated at a remote site. In this study we demonstrate that, by sharing entanglement between local and remote sites, secure quantum remote sensing can be realized, and the secure level is characterized by asymmetric Fisher information gain. Concretely, only the local site can acquire the estimated parameter accurately with Fisher information approaching 1. In contrast, the accessible Fisher information for an eavesdropper is nearly zero even if he or she obtains the raw sensing data at the remote site. This achievement is primarily due to the nonlocal calibration and control of the probe state at the remote site. Our results explore one significant advantage of ``quantumness'' and extend the notion of quantum metrology to the security realm.