| Paper Abstract and Keywords |
| Presentation |
2026-03-05 11:10
Optimal Resource Allocation for Dynamic Demands in Distributed Quantum Computing Nobuyuki Tanaka, Noriaki Kamiyama (Ritsumeikan Univ.) NS2025-300 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Distributed quantum computing (DQC), which distributes quantum computing resources across multiple nodes, is a powerful approach to overcoming the limitations imposed by the scale of qubits. However, since entanglement resources between nodes are finite, dynamic resource allocation based on demand significantly impacts computational performance. Particularly in environments where multiple applications run concurrently, quantum circuit demands and network resource requirements fluctuate over time, making efficient resource management a critical challenge. Therefore, this paper proposes an optimization method for request acceptance and logical circuit allocation in DQC networks, aiming to reduce processing time. Conventional methods assume static conditions and optimize using local rule-based approaches, potentially leading to performance degradation under dynamic demands. Consequently, this paper adopts an approach that sequentially learns optimal allocation decisions based on the situation using reinforcement learning. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Distributed Quantum Computing / Reinforcement Learning / / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 125, no. 385, NS2025-300, pp. 468-473, March 2026. |
| Paper # |
NS2025-300 |
| Date of Issue |
2026-02-25 (NS) |
| ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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 |
NS2025-300 |
| Conference Information |
| Committee |
IN NS |
| Conference Date |
2026-03-04 - 2026-03-06 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Okinawa-Ken Shichoson Jichi Kaikan |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
General |
| Paper Information |
| Registration To |
NS |
| Conference Code |
2026-03-IN-NS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Optimal Resource Allocation for Dynamic Demands in Distributed Quantum Computing |
| Sub Title (in English) |
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| Keyword(1) |
Distributed Quantum Computing |
| Keyword(2) |
Reinforcement Learning |
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| 1st Author's Name |
Nobuyuki Tanaka |
| 1st Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
| 2nd Author's Name |
Noriaki Kamiyama |
| 2nd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2026-03-05 11:10:00 |
| Presentation Time |
25 minutes |
| Registration for |
NS |
| Paper # |
NS2025-300 |
| Volume (vol) |
vol.125 |
| Number (no) |
no.385 |
| Page |
pp.468-473 |
| #Pages |
6 |
| Date of Issue |
2026-02-25 (NS) |