Optimum Mixed-State Discrimination for Noisy Entanglement-Enhanced Sensing
Name
PhysRevLett.118.040801.pdf
Size
440 KB
Format
Adobe PDF
Checksum (MD5)
a08f89251a7fcac01538ebb803a3ab9c
Author(s)
Zhuang, Quntao
Zhang, Zheshen
Shapiro, Jeffrey H
Date Issued
January 2017
Journal
Physical Review Letters
Publisher
American Physical Society
Citation
Zhuang, Quntao, Zheshen Zhang, and Jeffrey H. Shapiro. “Optimum Mixed-State Discrimination for Noisy Entanglement-Enhanced Sensing.” Physical Review Letters 118.4 (2017): n. pag. © 2017 American Physical Society
Version
Final published version
Abstract
Quantum metrology utilizes nonclassical resources, such as entanglement or squeezed light, to realize sensors whose performance exceeds that afforded by classical-state systems. Environmental loss and noise, however, easily destroy nonclassical resources and, thus, nullify the performance advantages of most quantum-enhanced sensors. Quantum illumination (QI) is different. It is a robust entanglement-enhanced sensing scheme whose 6 dB performance advantage over a coherent-state sensor of the same average transmitted photon number survives the initial entanglement’s eradication by loss and noise. Unfortunately, an implementation of the optimum quantum receiver that would reap QI’s full performance advantage has remained elusive, owing to its having to deal with a huge number of very noisy optical modes. We show how sum-frequency generation (SFG) can be fruitfully applied to optimum multimode Gaussian-mixed-state discrimination. Applied to QI, our analysis and numerical evaluations demonstrate that our SFG receiver saturates QI’s quantum Chernoff bound. Moreover, augmenting our SFG receiver with a feedforward (FF) mechanism pushes its performance to the Helstrom bound in the limit of low signal brightness. The FF-SFG receiver, thus, opens the door to optimum quantum-enhanced imaging, radar detection, state and channel tomography, and communication in practical Gaussian-state situations.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Physics
Massachusetts Institute of Technology. Research Laboratory of Electronics
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1103/PhysRevLett.118.040801
