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| Presentation | 2021-03-05 11:20 Memory Capacity of Sparse-Coding Hopfield model Implemented on Coherent Ising Machine Ryuta Sasaki, Toru Aonishi (TokyoTech), Kazushi Mimura (Hiroshima City Univ.), Masato Okada (Univ. Tokyo), Yoshihisa Yamamoto (NTT/Stanford Univ.)  NC2020-68 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The coherent Ising machine (CIM) is being developed as one of the Ising computers for solving combinatorial optimization problems scalably at high speed. Because the CIM is a non-equilibrium open dissipative system, the theories and techniques of classical thermodynamic equilibrium Ising spin systems cannot be directly applied to the CIM. Now our research group attempts to adapt these theories and techniques to the CIM. In this paper, we focus on the sparse-coding Hopfield model. It is known that the critical memory capacity increases when the patterns embedded in the Hopfield model are sparse. We derive a macroscopic equation to evaluate the behavior of critical memory capacity and pump rate in the sparse-coding CIM-implemented Hopfield model. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | coherent Ising machine / statistical mechanics / Hopfield model / critical memory capacity / phase transitions / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 403, NC2020-68, pp. 145-150, March 2021. | |
| Paper # | NC2020-68 | |
| Date of Issue | 2021-02-24 (NC) | |
| 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 | NC2020-68 |
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| Conference Information | |
| Committee | NC MBE |
| Conference Date | 2021-03-03 - 2021-03-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Neuro Computing, Medical Engineering, etc. |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2021-03-NC-MBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Memory Capacity of Sparse-Coding Hopfield model Implemented on Coherent Ising Machine |
| Sub Title (in English) | |
| Keyword(1) | coherent Ising machine |
| Keyword(2) | statistical mechanics |
| Keyword(3) | Hopfield model |
| Keyword(4) | critical memory capacity |
| Keyword(5) | phase transitions |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Ryuta Sasaki |
| 1st Author's Affiliation | Tokyo Institute of Technology (TokyoTech) |
| 2nd Author's Name | Toru Aonishi |
| 2nd Author's Affiliation | Tokyo Institute of Technology (TokyoTech) |
| 3rd Author's Name | Kazushi Mimura |
| 3rd Author's Affiliation | Hiroshima City University (Hiroshima City Univ.) |
| 4th Author's Name | Masato Okada |
| 4th Author's Affiliation | The University of Tokyo (Univ. Tokyo) |
| 5th Author's Name | Yoshihisa Yamamoto |
| 5th Author's Affiliation | NTT Research Inc./Stanford University (NTT/Stanford Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-03-05 11:20:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2020-68 |
| Volume (vol) | vol.120 |
| Number (no) | no.403 |
| Page | pp.145-150 |
| #Pages | 6 |
| Date of Issue | 2021-02-24 (NC) |
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