Published March 2023 | Version Published
Journal Article Open

Designing Optimal Linear Detectors: A Bottom-Up Approach

  • 1. ROR icon California Institute of Technology

Abstract

This paper develops a systematic approach to realizing linear detectors with an optimized sensitivity, allowing for the detection of extremely weak signals. First, general constraints are derived on a specific class of input-output transfer functions of a linear detector. Then a physical realization of transfer functions in that class is found using the quantum network synthesis technique, which allows for the inference of the physical setup directly from the input-output transfer function. By exploring a minimal realization which has the minimum number of internal modes, it is shown that the optimal such detectors are internal squeezing schemes. Then, investigating nonminimal realizations, which is motivated by parity-time symmetric systems, a quantum nondemolition measurement is systematically recovered.

Copyright and License

© 2023 American Physical Society. 

Acknowledgement

We would like to thank Denis Martynov, LIGO AIC, and QNWG for fruitful discussions. J.B. is supported by the STFC and School of Physics and Astronomy at the University of Birmingham. J.B. and H.M. acknowledge the additional support from the Birmingham Institute for Gravitational Wave Astronomy. H.M. has also been supported by UK STFC Ernest Rutherford Fellowship (Grant No. ST/M005844/11). Y.C. is supported by the Simons Foundation (Award No. 568762), and the National Science Foundation, through Grants No. PHY-1708212 and No. PHY-1708213.

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Published - PhysRevApplied.19.034009.pdf

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Additional details

Identifiers

Eprint ID
121481
Resolver ID
CaltechAUTHORS:20230522-906257000.14

Related works

Describes
Journal Article: 10.1103/PhysRevApplied.19.034009 (DOI)
Is corrected by
Erratum: https://authors.library.caltech.edu/records/k91bj-w2e15 (URL)

Funding

Birmingham Institute for Gravitational Wave Astronomy
Science and Technology Facilities Council (STFC)
ST/M005844/11
Simons Foundation
568762
NSF
PHY-1708212
NSF
PHY-1708213

Dates

Accepted
2023-02-02
Accepted paper

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