Optimal distributed quantum sensing using Gaussian states

  title={Optimal distributed quantum sensing using Gaussian states},
  author={Changhun Oh and Changhyoup Lee and Seok Hyung Lie and Hyunseok Jeong},
  journal={Physical Review Research},
The authors find the optimal setup of distributed quantum sensing using multimode Gaussian states for estimating the average value of phases encoded in the distributed modes. The results demonstrate that multimode entanglement plays an important role in the precise estimation of a global parameter. 

Figures from this paper

Distributed quantum phase sensing for arbitrary positive and negative weights
This work proposes a Heisenberg-limited distributed quantum phase sensing scheme using Gaussian states for an arbitrary distribution of the weights with positive and negative signs, and proves it to be optimal for Gaussian probe states with zero displacement.
Estimation of the average of arbitrary unknown phase delays with Heisenberg-scaling precision
We show an estimation scheme which reaches the Heisenberg-scaling sensitivity in the estimation of the average of the optical phases along the two arms of a Mach-Zehnder interferometer, by using a
Evaluating the quantum Ziv–Zakai bound in noisy environments
Shoukang Chang, Wei Ye, Xuan Rao, Huan Zhang, Mengmeng Luo, Yuetao Chen, Shaoyan Gao and Liyun Hu MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, Shaanxi Province
Supporting multiple entanglement flows through a continuous-variable quantum repeater
Quantum repeaters are critical to the development of quantum networks, enabling rates of entanglement distribution beyond those attainable by direct transmission. We consider multiple
Theoretical studies on quantum imaging with time-integrated single-photon detection under realistic experimental conditions
We study a quantum-enhanced differential measurement scheme that uses quantum probes and single-photon detectors to measure a minute defect in the absorption parameter of an analyte under
Quantum Metrological Power of Continuous-Variable Quantum Networks.
We investigate the quantum metrological power of typical continuous-variable (CV) quantum networks. Particularly, we show that most CV quantum networks provide an entanglement to quantum states in
Bayesian Quantum Multiphase Estimation Algorithm
A Bayesian algorithm for the parallel (simultaneous) estimation of multiple arbitrary phases that allows to surpass the sensitivity of sequential single-phase estimation strategies for optimal linear combinations of phases.
Optimal circular dichroism sensing with quantum light: Multiparameter estimation approach
The measurement of circular dichroism (CD) has widely been exploited to distinguish the different enantiomers of chiral structures. It has been applied to natural materials (e.g. molecules) as well
Quantum-enhanced data classification with a variational entangled sensor network
We report the experimental demonstration of supervised learning assisted by an entangled sensor network (SLAEN). We show an entanglement-enabled reduction in the error probability for classification
Entanglement-enhanced estimation of a parameter embedded in multiple phases
Quantum enhanced sensing promises to improve the performance of sensing tasks using non-classical probes and measurements using far less scene-modulated photons than possible by the best classical


Multiparameter Estimation in Networked Quantum Sensors.
It is shown that entangling the sensors can enhance the estimation precision when the parameters of interest are global properties of the entire network, which applies to any situation in which spatially localized sensors are unitarily encoded with independent parameters.
Bayesian estimation in homodyne interferometry
The performances of the two-step methods are investigated by means of Monte Carlo simulated experiments with a small number of homodyne data, thus giving a quantitative meaning to the notion of asymptotic optimality.
Optimal measurements for quantum fidelity between Gaussian states and its relevance to quantum metrology
Quantum fidelity is a measure to quantify the closeness of two quantum states. In an operational sense, it is defined as the minimal overlap between the probability distributions of measurement
Distributed quantum sensing in a continuous-variable entangled network
Networking is integral to quantum communications 1 and has significant potential for upscaling quantum computer technologies 2 . Recently, it was realized that the sensing performances of multiple
Quantum Continuous Variables: A Primer of Theoretical Methods
Gaussian quantum information
This review focuses on continuous-variable quantum information processes that rely on any combination of Gaussian states, Gaussian operations, and Gaussian measurements, including quantum communication, quantum cryptography, quantum computation, quantum teleportation, and quantum state and channel discrimination.
Distributed quantum sensing enhanced by continuous-variable error correction
It is shown that using CV error correction codes can enhance the robustness of sensing protocols against imperfections and reinstate Heisenberg scaling up to moderate values of M and construct a protocol in which both quadratures can be sensed simultaneously.
Quantum Fisher information matrix and multiparameter estimation
Quantum Fisher information matrix (QFIM) is a core concept in theoretical quantum metrology due to the significant importance of quantum Cramér–Rao bound in quantum parameter estimation. However,
Geometric perspective on quantum parameter estimation
This review collects some of the key theoretical results in quantum parameter estimation by presenting the theory for the quantum estimation of a single parameter, multiple parameters, and optical estimation using Gaussian states.
Distributed quantum metrology with a single squeezed-vacuum source
We propose an interferometric scheme for the estimation of a linear combination with non-negative weights of an arbitrary number $M>1$ of unknown phase delays, distributed across an $M$-channel