Precision and Privacy in Distributed Quantum Sensing: A Quantum Fisher Information Duality
arXiv SecurityArchived May 21, 2026✓ Full text saved
arXiv:2605.20765v1 Announce Type: cross Abstract: We establish a quantum Fisher information (QFI) duality for distributed quantum sensor networks with local phase encoding. For any $N$-qubit probe state, where $N$ denotes the number of sensors, $F_Q(\boldsymbol{w}^\top \boldsymbol{\theta}) + F_Q(\boldsymbol{v}^\top \boldsymbol{\theta}) \leq N$ for all unit orthogonal sensing directions $\boldsymbol{w}$ and $\boldsymbol{v}$, with equality for all equatorial states when $N=2$ and for Greenberger--
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✦ AI Summary· Claude Sonnet
Quantum Physics
[Submitted on 20 May 2026]
Precision and Privacy in Distributed Quantum Sensing: A Quantum Fisher Information Duality
Farhad Farokhi
We establish a quantum Fisher information (QFI) duality for distributed quantum sensor networks with local phase encoding. For any N-qubit probe state, where N denotes the number of sensors, F_Q(\boldsymbol{w}^\top \boldsymbol{\theta}) + F_Q(\boldsymbol{v}^\top \boldsymbol{\theta}) \leq N for all unit orthogonal sensing directions \boldsymbol{w} and \boldsymbol{v}, with equality for all equatorial states when N=2 and for Greenberger--Horne--Zeilinger (GHZ) states when N\geq 2. Heisenberg-limited precision for direction \boldsymbol{w}, F_Q(\boldsymbol{w}^\top \boldsymbol{\theta})=N, saturates the bound and simultaneously forces zero QFI for all other independent directions. This can be interpreted as the condition for parameter privacy in distributed quantum sensing: attaining Heisenberg-limited precision for the sensing target renders all alternative privacy-intrusive estimations impossible.
Subjects: Quantum Physics (quant-ph); Cryptography and Security (cs.CR); Information Theory (cs.IT)
Cite as: arXiv:2605.20765 [quant-ph]
(or arXiv:2605.20765v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2605.20765
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Submission history
From: Farhad Farokhi [view email]
[v1] Wed, 20 May 2026 06:07:19 UTC (12 KB)
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