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Paper Abstract and Keywords
Presentation 2026-03-17 15:45
Numerical estimation of the information processing potential of reservoirs from noisy data
Shun Kotoku, Takatomo Mihana, Andre Roehm, Ryoichi Horisaki (UTokyo) CCS2025-69
Abstract (in Japanese) (See Japanese page) 
(in English) Information Processing Capacity (IPC) is a widely used measure for quantifying the computational capability of physical computing systems, including physical reservoir computing
However, it has been difficult to separate performance degradation caused by noise from limitations intrinsic to the system itself.
In this study, we propose a method to reconstruct the ideal IPC by statistically processing the covariance matrix, and demonstrate its effectiveness through numerical simulations.
The proposed approach provides a principled guideline for evaluating the fundamental performance limits of physical devices, where noise is inherently unavoidable.
Keyword (in Japanese) (See Japanese page) 
(in English) Reservoir computing / Physicial computing systems / Information processing capacity / Noise effects / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 416, CCS2025-69, pp. 87-92, March 2026.
Paper # CCS2025-69 
Date of Issue 2026-03-10 (CCS) 
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 CCS2025-69

Conference Information
Committee CCS  
Conference Date 2026-03-17 - 2026-03-18 
Place (in Japanese) (See Japanese page) 
Place (in English) RUSUTSU RESORT 
Topics (in Japanese) (See Japanese page) 
Topics (in English) CCS, etc. 
Paper Information
Registration To CCS 
Conference Code 2026-03-CCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Numerical estimation of the information processing potential of reservoirs from noisy data 
Sub Title (in English)  
Keyword(1) Reservoir computing  
Keyword(2) Physicial computing systems  
Keyword(3) Information processing capacity  
Keyword(4) Noise effects  
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Keyword(6)  
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1st Author's Name Shun Kotoku  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Takatomo Mihana  
2nd Author's Affiliation The University of Tokyo (UTokyo)
3rd Author's Name Andre Roehm  
3rd Author's Affiliation The University of Tokyo (UTokyo)
4th Author's Name Ryoichi Horisaki  
4th Author's Affiliation The University of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2026-03-17 15:45:00 
Presentation Time 20 minutes 
Registration for CCS 
Paper # CCS2025-69 
Volume (vol) vol.125 
Number (no) no.416 
Page pp.87-92 
#Pages 6 
Date of Issue 2026-03-10 (CCS) 

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