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Title: Multiparameter Estimation in Networked Quantum Sensors

Journal Article · · Physical Review Letters
 [1];  [2];  [3]
  1. Sandia National Lab. (SNL-CA), Livermore, CA (United States); Univ. of California, Berkeley, CA (United States)
  2. Univ. of Nottingham (United Kingdom); Univ. of Sussex, Brighton (United Kingdom)
  3. Univ. of Sussex, Brighton (United Kingdom)

We introduce a general model for a network of quantum sensors, and we use this model to consider the question: When can entanglement between the sensors, and/or global measurements, enhance the precision with which the network can measure a set of unknown parameters? We rigorously answer this question by presenting precise theorems proving that for a broad class of problems there is, at most, a very limited intrinsic advantage to using entangled states or global measurements. Moreover, for many estimation problems separable states and local measurements are optimal, and can achieve the ultimate quantum limit on the estimation uncertainty. This immediately implies that there are broad conditions under which simultaneous estimation of multiple parameters cannot outperform individual, independent estimations. Our results apply to any situation in which spatially localized sensors are unitarily encoded with independent parameters, such as when estimating multiple linear or non-linear optical phase shifts in quantum imaging, or when mapping out the spatial profile of an unknown magnetic field. We conclude by showing that entangling the sensors can enhance the estimation precision when the parameters of interest are global properties of the entire network.

Research Organization:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC04-94AL85000; NA0003525
OSTI ID:
1429719
Alternate ID(s):
OSTI ID: 1422465
Report Number(s):
SAND-2017-13642J; PRLTAO; 659588; TRN: US1802617
Journal Information:
Physical Review Letters, Vol. 120, Issue 8; ISSN 0031-9007
Publisher:
American Physical Society (APS)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 136 works
Citation information provided by
Web of Science

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Cited By (21)

Attaining the Ultimate Precision Limit in Quantum State Estimation journal April 2019
Distributed quantum sensing in a continuous-variable entangled network journal December 2019
Optimal Gaussian metrology for generic multimode interferometric circuit journal March 2019
Quantum Fisher information matrix and multiparameter estimation journal December 2019
Designing quantum experiments with a genetic algorithm journal October 2019
Continuous-variable entanglement distillation over a pure loss channel with multiple quantum scissors journal August 2019
Generalized-mean Cramér-Rao bounds for multiparameter quantum metrology journal February 2020
Optimal measurements for quantum spatial superresolution journal July 2018
Sensitivity Bounds for Multiparameter Quantum Metrology journal September 2018
Towards Superresolution Surface Metrology: Quantum Estimation of Angular and Axial Separations journal April 2019
Memory Effects in Quantum Metrology journal September 2019
Standard Quantum Limit and Heisenberg Limit in Function Estimation journal January 2020
Distributed Quantum Sensing Using Continuous-Variable Multipartite Entanglement conference January 2018
Attaining the Ultimate Precision Limit in Quantum State Estimation text January 2019
Multiparameter Gaussian Quantum Metrology text January 2017
Optimal measurements for quantum spatial superresolution text January 2017
Attaining the ultimate precision limit in quantum state estimation text January 2018
Standard Quantum Limit and Heisenberg Limit in Function Estimation text January 2018
Heisenberg-Scaling Measurement Protocol for Analytic Functions with Quantum Sensor Networks text January 2019
Physical-Layer Supervised Learning Assisted by an Entangled Sensor Network text January 2019
Memory effects in quantum metrology text January 2019

Figures / Tables (1)