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Distributed quantum sensing in a continuous variable entangled network

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arxiv 1905.09408 v2 pith:QB3ZN5XD submitted 2019-05-23 quant-ph physics.optics

classification quant-phphysics.optics
keywords quantumentangledsensingdistributednetworkcontinuousdemonstratephase
verification ladder T0 review T1 audit T2 compute T3 formal
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Networking plays a ubiquitous role in quantum technology. It is an integral part of quantum communication and has significant potential for upscaling quantum computer technologies that are otherwise not scalable. Recently, it was realized that sensing of multiple spatially distributed parameters may also benefit from an entangled quantum network. Here we experimentally demonstrate how sensing of an averaged phase shift among four distributed nodes benefits from an entangled quantum network. Using a four-mode entangled continuous variable (CV) state, we demonstrate deterministic quantum phase sensing with a precision beyond what is attainable with separable probes. The techniques behind this result can have direct applications in a number of primitives ranging from biological imaging to quantum networks of atomic clocks.

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Cited by 2 Pith papers

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

  1. PhD thesis: Modes, States, and Symmetries in quantum Optics for quantum Information and Metrology

    quant-ph 2026-07 accept novelty 7.0 of 10

    Modal structure, photon statistics, and bosonic/phase symmetries jointly determine the usable resources for photonic quantum information and metrology, with explicit gains and limits for time-frequency, HOM, and SSR settings.

  2. A resource- and computationally-efficient protocol for multipartite entanglement distribution in Bell-pair networks

    quant-ph 2024-12 conditional novelty 6.0 of 10

    A greedy star-merging protocol distributes GHZ states over arbitrary Bell-pair networks with O(N) gates, N-1 Bell pairs in the complete case, and a polynomial-time alternative to Steiner-tree-based methods.

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