Optical Estimation of Displacement Operation Based on Photon Number States Under Thermal Noise

Displacement based quantum receivers have gained increasing attention because they can beat the standard quantum limit. The displacement value in quantum receivers can be calibrated by using number states as probes. Current estimating methods assumed that ideal number states can be prepared perfectly, which is impossible in practical implementations. In this work, we focus on the impacts of thermal noise when preparing the number states on the estimation performance of displacement operations. We first derive the probability density of photon numbers in a thermal noise contaminated number state after a displacement operation, which we call the noisy displaced number state (NDNS). Based on the derived probability density, we then analyze the performance of estimating displacement operations with NDNS probes by using the maximum likelihood estimation (MLE) method. Numerical results found that the thermal noise in preparing the number states has great influence on the MLE accuracy of the displacement operations.

Authors

Institutions

Publication Details

Published
2024-08-21
DOI
https://doi.org/10.1109/icicn62625.2024.10761610
Primary Topic
Force Microscopy Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optical Estimation of Displacement Operation Based on Photon Number States Under Thermal Noise

Siming Wang, Renzhi Yuan, Jia Guo, Zining Chen et al.
Force Microscopy Techniques and Applications
article

Optical Estimation of Displacement Operation Based on Photon Number States Under Thermal Noise

Siming Wang, Renzhi Yuan, Jia Guo, Zining Chen, Mugen Peng, Yuchai Li, Shijie Di, Kailin Sun, Junwei Li, Xinyi Chu
article en

Abstract

Displacement based quantum receivers have gained increasing attention because they can beat the standard quantum limit. The displacement value in quantum receivers can be calibrated by using number states as probes. Current estimating methods assumed that ideal number states can be prepared perfectly, which is impossible in practical implementations. In this work, we focus on the impacts of thermal noise when preparing the number states on the estimation performance of displacement operations. We first derive the probability density of photon numbers in a thermal noise contaminated number state after a displacement operation, which we call the noisy displaced number state (NDNS). Based on the derived probability density, we then analyze the performance of estimating displacement operations with NDNS probes by using the maximum likelihood estimation (MLE) method. Numerical results found that the thermal noise in preparing the number states has great influence on the MLE accuracy of the displacement operations.

Beijing University of Posts and Telecommunications (CN), State Key Laboratory of Networking and Switching Technology
National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 80%
Force Microscopy Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.