Quantum Advantage in Distributed Sensing with Noisy Quantum Networks
Allen Zang, Alexander Kolar, Alvin Gonzales, Joaquin Chung, Stephen K. Gray, Rajkumar Kettimuthu, Tian Zhong, Zain H. Saleem

TL;DR
This paper demonstrates that quantum advantage in distributed sensing is achievable even with noisy quantum networks, providing theoretical conditions and practical protocols for real-world implementation.
Contribution
It derives a closed-form QFI expression for noisy GHZ-diagonal states and establishes conditions for quantum advantage under realistic noise conditions.
Findings
Quantum advantage is robust against network noise and local operation errors.
Genuine multipartite entanglement is not necessary for quantum advantage.
Practical protocols can prepare suitable probe states using existing quantum network technology.
Abstract
It is critically important to analyze the achievability of quantum advantage under realistic imperfections. In this work, we show that quantum advantage in distributed sensing can be achieved with noisy quantum networks which can only distribute noisy entangled states. We derive a closed-form expression of the quantum Fisher information (QFI) for estimating the average of local parameters using GHZ-diagonal probe states, an important distributed sensing prototype. From the QFI we obtain the necessary condition to achieve quantum advantage over the optimal local sensing strategy, which can also serve as an optimization-free entanglement detection criterion for multipartite states. In addition, we prove that genuine multipartite entanglement is neither necessary nor sufficient through explicit examples of depolarized and dephased GHZ states. We further explore the impacts from imperfect…
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Taxonomy
TopicsQuantum Information and Cryptography · Molecular Communication and Nanonetworks · Quantum Computing Algorithms and Architecture
