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| Presentation | 2021-10-29 11:15 Visualization and quantification of the difficulty of combinatorial optimization problems in Ising formulation Keiichi Soejima (Saitama Univ.), Makiko Konoshima, Hirotaka Tamura (Fujitsu), Jun Ohkubo (Saitama Univ.)  NC2021-25 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | With the aim of rapidly solving combinatorial optimization problems, dedicated hardware using the Ising Model is being developed. Although annealing by dedicated hardware is used, using it to find solutions to certain problems is difficult. Accordingly, we attempt to visualize and quantify the difficulty of individual problems by analyzing one-dimensional time-series data sampled from a cost function. Specifically, we propose (i) an improved method for extracting local solutions from time series data that is suitable for the Ising model and (ii) a method for visualizing and quantifying the difficulty of finding solutions by clustering and distance-matrix analysis. Using two problems with different eases of finding solutions, we confirmed that the proposed methods reflect the difference in the difficulties of solving the problems. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Ising formulation / time series data / visualization / quantification / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 223, NC2021-25, pp. 40-45, Oct. 2021. | |
| Paper # | NC2021-25 | |
| Date of Issue | 2021-10-21 (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 | NC2021-25 |
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| Conference Information | |
| Committee | MBE NC |
| Conference Date | 2021-10-28 - 2021-10-29 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2021-10-MBE-NC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Visualization and quantification of the difficulty of combinatorial optimization problems in Ising formulation |
| Sub Title (in English) | |
| Keyword(1) | Ising formulation |
| Keyword(2) | time series data |
| Keyword(3) | visualization |
| Keyword(4) | quantification |
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| 1st Author's Name | Keiichi Soejima |
| 1st Author's Affiliation | Saitama University (Saitama Univ.) |
| 2nd Author's Name | Makiko Konoshima |
| 2nd Author's Affiliation | Fujitsu Limited (Fujitsu) |
| 3rd Author's Name | Hirotaka Tamura |
| 3rd Author's Affiliation | Fujitsu Limited (Fujitsu) |
| 4th Author's Name | Jun Ohkubo |
| 4th Author's Affiliation | Saitama University (Saitama Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-10-29 11:15:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2021-25 |
| Volume (vol) | vol.121 |
| Number (no) | no.223 |
| Page | pp.40-45 |
| #Pages | 6 |
| Date of Issue | 2021-10-21 (NC) |
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