Quick Navigation

Overview Topics Abstract Importance Paper Tools References Reactions Discussion Publication

Topics

Trapped Ion Quantum Computing

Approaching the quantum limit of precision in absorbance estimation using classical resources

DOAJ
Authors: Euan J. Allen, Javier Sabines-Chesterking, Alex R. McMillan, Siddarth K. Joshi, Peter S. Turner, Jonathan C. F. Matthews

Year

2020

Paper ID

38684

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

85

Citations

N/A

Abstract

The utility of transmission measurement has made it a target for quantum enhanced measurement strategies. Here we find if the length of an absorbing object is a controllable variable, then, via the Beer-Lambert law, classical strategies can be optimized to reach within 83% of the absolute quantum limit in precision. Our analysis includes experimental losses, detector noise, and input states with arbitrary photon statistics. We derive optimal operating conditions for both classical and quantum sources, and observe experimental agreement with theory using Fock and thermal states.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2020 reference point for readers tracking recent quantum research.
  • The utility of transmission measurement has made it a target for quantum enhanced measurement strategies.

Paper Tools

Become a member to use research tools

Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.

Become a member Sign in
Publisher Share Cite This Paper Copy URL Compare Copy DOI Add to Reading List Category Correction Request

References & Citation Signals

[1] DOI https://doi.org/10.1103/PhysRevResearch.2.033243 [2] Publisher http://doi.org/10.1103/PhysRevResearch.2.033243

Local Citation Graph (Related-Paper Links)

Current Paper #38684

External citation index: OpenAlex citation signal

Community Reactions

Quick sentiment from readers on this paper.

Score: 0
Likes: 0 Dislikes: 0

Sign in to react to this paper.

Discussion & Reviews (Moderated)

Average Rating: 0.0 / 5 (0 ratings)

No written reviews yet.