Quantum Parametric Mode Sorting: Beating the Time-Frequency Filtering

Abstract Selective detection of signal over noise is essential to measurement and signal processing. Time-frequency filtering has been the standard approach for the optimal detection of non-stationary signals. However, there is a fundamental tradeoff between the signal detection efficiency and the a...

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Autores principales:	Amin Shahverdi, Yong Meng Sua, Lubna Tumeh, Yu-Ping Huang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a0da54de9dea484e8c16ed0674d9761b
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spelling	oai:doaj.org-article:a0da54de9dea484e8c16ed0674d9761b2021-12-02T11:40:13ZQuantum Parametric Mode Sorting: Beating the Time-Frequency Filtering10.1038/s41598-017-06564-72045-2322https://doaj.org/article/a0da54de9dea484e8c16ed0674d9761b2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-06564-7https://doaj.org/toc/2045-2322Abstract Selective detection of signal over noise is essential to measurement and signal processing. Time-frequency filtering has been the standard approach for the optimal detection of non-stationary signals. However, there is a fundamental tradeoff between the signal detection efficiency and the amount of undesirable noise detected simultaneously, which restricts its uses under weak signal yet strong noise conditions. Here, we demonstrate quantum parametric mode sorting based on nonlinear optics at the edge of phase matching to improve the tradeoff. By tailoring the nonlinear process in a commercial lithium-niobate waveguide through optical arbitrary waveform generation, we demonstrate highly selective detection of picosecond signals overlapping temporally and spectrally but in orthogonal time-frequency modes as well as against broadband noise, with performance well exceeding the theoretical limit of the optimized time-frequency filtering. We also verify that our device does not introduce any significant quantum noise to the detected signal and demonstrate faithful detection of pico-second single photons. Together, these results point to unexplored opportunities in measurement and signal processing under challenging conditions, such as photon-starving quantum applications.Amin ShahverdiYong Meng SuaLubna TumehYu-Ping HuangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Amin Shahverdi Yong Meng Sua Lubna Tumeh Yu-Ping Huang Quantum Parametric Mode Sorting: Beating the Time-Frequency Filtering
description	Abstract Selective detection of signal over noise is essential to measurement and signal processing. Time-frequency filtering has been the standard approach for the optimal detection of non-stationary signals. However, there is a fundamental tradeoff between the signal detection efficiency and the amount of undesirable noise detected simultaneously, which restricts its uses under weak signal yet strong noise conditions. Here, we demonstrate quantum parametric mode sorting based on nonlinear optics at the edge of phase matching to improve the tradeoff. By tailoring the nonlinear process in a commercial lithium-niobate waveguide through optical arbitrary waveform generation, we demonstrate highly selective detection of picosecond signals overlapping temporally and spectrally but in orthogonal time-frequency modes as well as against broadband noise, with performance well exceeding the theoretical limit of the optimized time-frequency filtering. We also verify that our device does not introduce any significant quantum noise to the detected signal and demonstrate faithful detection of pico-second single photons. Together, these results point to unexplored opportunities in measurement and signal processing under challenging conditions, such as photon-starving quantum applications.
format	article
author	Amin Shahverdi Yong Meng Sua Lubna Tumeh Yu-Ping Huang
author_facet	Amin Shahverdi Yong Meng Sua Lubna Tumeh Yu-Ping Huang
author_sort	Amin Shahverdi
title	Quantum Parametric Mode Sorting: Beating the Time-Frequency Filtering
title_short	Quantum Parametric Mode Sorting: Beating the Time-Frequency Filtering
title_full	Quantum Parametric Mode Sorting: Beating the Time-Frequency Filtering
title_fullStr	Quantum Parametric Mode Sorting: Beating the Time-Frequency Filtering
title_full_unstemmed	Quantum Parametric Mode Sorting: Beating the Time-Frequency Filtering
title_sort	quantum parametric mode sorting: beating the time-frequency filtering
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/a0da54de9dea484e8c16ed0674d9761b
work_keys_str_mv	AT aminshahverdi quantumparametricmodesortingbeatingthetimefrequencyfiltering AT yongmengsua quantumparametricmodesortingbeatingthetimefrequencyfiltering AT lubnatumeh quantumparametricmodesortingbeatingthetimefrequencyfiltering AT yupinghuang quantumparametricmodesortingbeatingthetimefrequencyfiltering
_version_	1718395716953440256

Quantum Parametric Mode Sorting: Beating the Time-Frequency Filtering

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