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Paper Abstract and Keywords
Presentation 2025-09-19 09:25
Design and Parallel Performance Evaluation of a Multi-FPGA SQA Accelerator for Route Optimization in Large-Scale AGV Systems
NGuyen Quang Thinh, Kosuke Matsuyama, Keisuke Shimizu, Hiroki Sugano, Eiji Kurimoto (Sharp), Hasitha Muthumala Waidyasooriya, Kosei Nishio, Masanori Hariyama, Masaru Hitomi, Kenta Sawamura, Masayuki Ohzeki (Tohoku University) RECONF2025-58
Abstract (in Japanese) (See Japanese page) 
(in English) Improving the efficiency, safety, and speed of large-scale Automated Guided Vehicle (AGV) systems is crucial for enhancing the productivity of logistics warehouses. Quantum annealers, such as the "D-Wave Advantage," show promise for optimizing AGV routing; however, the current limitations in the number of qubits make it challenging to apply them to large-scale problems. In this study, we propose a new optimization method aimed at minimizing travel time while avoiding collisions to enhance safety and efficiency in large-scale AGV control systems. Furthermore, we have developed an FPGA-based simulation quantum annealing (SQA) accelerator capable of processing approximately 50,000 variables, establishing a framework to address large-scale optimization problems. This report demonstrates the effectiveness of the proposed method through experiments conducted under actual operating conditions.
Keyword (in Japanese) (See Japanese page) 
(in English) Simulated Quantum Annealing / FPGA / Automated Guided Vehicle (AGV) / Warehouse Optimization / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 184, RECONF2025-58, pp. 34-39, Sept. 2025.
Paper # RECONF2025-58 
Date of Issue 2025-09-11 (RECONF) 
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)
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Conference Information
Committee RECONF  
Conference Date 2025-09-18 - 2025-09-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To RECONF 
Conference Code 2025-09-RECONF 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Design and Parallel Performance Evaluation of a Multi-FPGA SQA Accelerator for Route Optimization in Large-Scale AGV Systems 
Sub Title (in English)  
Keyword(1) Simulated Quantum Annealing  
Keyword(2) FPGA  
Keyword(3) Automated Guided Vehicle (AGV)  
Keyword(4) Warehouse Optimization  
Keyword(5)  
Keyword(6)  
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Keyword(8)  
1st Author's Name NGuyen Quang Thinh  
1st Author's Affiliation Sharp Corporation (Sharp)
2nd Author's Name Kosuke Matsuyama  
2nd Author's Affiliation Sharp Corporation (Sharp)
3rd Author's Name Keisuke Shimizu  
3rd Author's Affiliation Sharp Corporation (Sharp)
4th Author's Name Hiroki Sugano  
4th Author's Affiliation Sharp Corporation (Sharp)
5th Author's Name Eiji Kurimoto  
5th Author's Affiliation Sharp Corporation (Sharp)
6th Author's Name Hasitha Muthumala Waidyasooriya  
6th Author's Affiliation Tohoku University (Tohoku University)
7th Author's Name Kosei Nishio  
7th Author's Affiliation Tohoku University (Tohoku University)
8th Author's Name Masanori Hariyama  
8th Author's Affiliation Tohoku University (Tohoku University)
9th Author's Name Masaru Hitomi  
9th Author's Affiliation Tohoku University (Tohoku University)
10th Author's Name Kenta Sawamura  
10th Author's Affiliation Tohoku University (Tohoku University)
11th Author's Name Masayuki Ohzeki  
11th Author's Affiliation Tohoku University (Tohoku University)
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Speaker Author-1 
Date Time 2025-09-19 09:25:00 
Presentation Time 25 minutes 
Registration for RECONF 
Paper # RECONF2025-58 
Volume (vol) vol.125 
Number (no) no.184 
Page pp.34-39 
#Pages
Date of Issue 2025-09-11 (RECONF) 


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