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Quantum Advantage in Distributed Sensing with Noisy Quantum Networks

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arxiv 2409.17089 v5 pith:LV4QUHQL submitted 2024-09-25 quant-ph

classification quant-ph
keywords quantumsensingadvantagelocaldistributednoisynetworksstates
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We show that quantum advantage in distributed sensing can be achieved with noisy quantum networks which 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, a representative distributed sensing scenario. 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. We further explore the impacts from imperfect local entanglement generation and local measurement constraint, and our results imply that the quantum advantage is more robust against quantum network imperfections than local operation errors. Notably, these implications still hold when we explicitly consider dephasing during the sensing dynamics. Our results significantly advance the understanding of the achievability of quantum advantage in noisy distributed sensing. They also offer practical guidance for real-world implementation of quantum sensor networks.

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Cited by 6 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Private quantum network sensing with efficient multi-partite entanglement distribution via lossy channels

    quant-ph 2025-05 reject novelty 6.0 of 10

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  4. Enhancing Noisy Quantum Sensing by GHZ State Partitioning

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    Splitting a noisy GHZ sensor array into smaller independent GHZ sub-ensembles, with optimal sub-ensemble size set by the inverse error rate, maximizes the quantum Fisher information.

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  6. Design and Simulation of the Adaptive Continuous Entanglement Generation Protocol

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    A continuous, adaptively guided entanglement generation protocol with purification reduces request time-to-serve by 57 to 94 percent and boosts fidelity by 0.01 to 0.05 in quantum network simulations.

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