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Paper Abstract and Keywords
Presentation 2023-03-14 15:45
Improvement of the Performance for Quantum Neural Network Classifiers based on Optimal Quantum Measurement Decoding
Yusaku Yamada, Jun Suzuki (UEC) IT2022-106 ISEC2022-85 WBS2022-103 RCC2022-103
Abstract (in Japanese) (See Japanese page) 
(in English) In this work, we study the problem of supervised label classification using quantum neural network (QNN). We propose a method of optimal quantum measurement decoding (OQMD) that optimizes single qubit measurements before decoding classical data from quantum states. We apply OQMD to the Iris Data Set to illustrate effectiveness of our proposal. OQMD achieves the accuracy of 95% classification even for relatively simple quantum circuits, which are regarded as useless in previous works. Comparison with the previous proposals based on heuristic approaches, we argue that the more fundamental is to perform optimal measurement to decode classical data in the QNN classification problem.
Keyword (in Japanese) (See Japanese page) 
(in English) Quantum Computing / Quantum Neural Networks / Quantum Machine Learning / Parameterized Quantum Circuits / Variational Quantum Circuits / FeatureMap / Optimal Measurements /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 427, IT2022-106, pp. 242-247, March 2023.
Paper # IT2022-106 
Date of Issue 2023-03-07 (IT, ISEC, WBS, RCC) 
ISSN Online edition: ISSN 2432-6380
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All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IT2022-106 ISEC2022-85 WBS2022-103 RCC2022-103

Conference Information
Committee RCC ISEC IT WBS  
Conference Date 2023-03-14 - 2023-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IT 
Conference Code 2023-03-RCC-ISEC-IT-WBS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of the Performance for Quantum Neural Network Classifiers based on Optimal Quantum Measurement Decoding 
Sub Title (in English)  
Keyword(1) Quantum Computing  
Keyword(2) Quantum Neural Networks  
Keyword(3) Quantum Machine Learning  
Keyword(4) Parameterized Quantum Circuits  
Keyword(5) Variational Quantum Circuits  
Keyword(6) FeatureMap  
Keyword(7) Optimal Measurements  
Keyword(8)  
1st Author's Name Yusaku Yamada  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Jun Suzuki  
2nd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2023-03-14 15:45:00 
Presentation Time 25 minutes 
Registration for IT 
Paper # IT2022-106, ISEC2022-85, WBS2022-103, RCC2022-103 
Volume (vol) vol.122 
Number (no) no.427(IT), no.428(ISEC), no.429(WBS), no.430(RCC) 
Page pp.242-247 
#Pages
Date of Issue 2023-03-07 (IT, ISEC, WBS, RCC) 


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