A quantum photonic chip for binary classification

On the silicon photonic chip, we apply Mach Zehnder Interferometer (MZI) and optical network to manipulate the phase difference and amplitude distribution of the input light. The two or three-dimensional input data is encoded in the light amplitude distribution and the genetic algorithm is applied t...

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Main Authors: Lin, H. X., Zhang, H., Cai, H., GRIFFIN, Paul Robert, Liu, A. Q.
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Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/sis_research/8342
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spelling sg-smu-ink.sis_research-93452023-12-05T02:12:03Z A quantum photonic chip for binary classification Lin, H. X. Zhang, H. Cai, H. GRIFFIN, Paul Robert Liu, A. Q. On the silicon photonic chip, we apply Mach Zehnder Interferometer (MZI) and optical network to manipulate the phase difference and amplitude distribution of the input light. The two or three-dimensional input data is encoded in the light amplitude distribution and the genetic algorithm is applied to update the angle parameters of the MZIs to improve the classification result. 2023-05-12T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/8342 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Software Engineering Theory and Algorithms
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Software Engineering
Theory and Algorithms
spellingShingle Software Engineering
Theory and Algorithms
Lin, H. X.
Zhang, H.
Cai, H.
GRIFFIN, Paul Robert
Liu, A. Q.
A quantum photonic chip for binary classification
description On the silicon photonic chip, we apply Mach Zehnder Interferometer (MZI) and optical network to manipulate the phase difference and amplitude distribution of the input light. The two or three-dimensional input data is encoded in the light amplitude distribution and the genetic algorithm is applied to update the angle parameters of the MZIs to improve the classification result.
format text
author Lin, H. X.
Zhang, H.
Cai, H.
GRIFFIN, Paul Robert
Liu, A. Q.
author_facet Lin, H. X.
Zhang, H.
Cai, H.
GRIFFIN, Paul Robert
Liu, A. Q.
author_sort Lin, H. X.
title A quantum photonic chip for binary classification
title_short A quantum photonic chip for binary classification
title_full A quantum photonic chip for binary classification
title_fullStr A quantum photonic chip for binary classification
title_full_unstemmed A quantum photonic chip for binary classification
title_sort quantum photonic chip for binary classification
publisher Institutional Knowledge at Singapore Management University
publishDate 2023
url https://ink.library.smu.edu.sg/sis_research/8342
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