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2023 年度 実施状況報告書

非対称スピン波干渉に基づくカラードノイズ援用低消費電力イジングマシンに関する研究

研究課題

研究課題/領域番号 23KJ0605
研究機関東京大学

研究代表者

LIAO ZHIQIANG  東京大学, 工学系研究科, 特別研究員(PD)

研究期間 (年度) 2023-04-25 – 2025-03-31
キーワードSpin wave / Asymmetric interference / Ising machine / Low power consumption / Noise assistance
研究実績の概要

(1) I fabricated a 20-nm-thick 400-μm-long Y-shape spin wave interferometer (SWI) based on yttrium iron garnet. I tested different excitation frequencies under in-plan magnetic field of 20mT. The results proved that an excitation frequency of 1.8 GHz can achieve the strongest interference asymmetry.
(2) Based on experimental data, I simulated the SWI-based Ising machine. The results proved that my device can operate under conditions where the noise intensity is 2.5 times greater than its saturation spin amplitude.
(3) To modulate the noise in the experiment, I used an arbitrary wave generator to generate the initial white noise. Then, by feeding the bias control signal and noise signal together into the comparator LT1016, statistical modulation of the noise characteristics was achieved.

現在までの達成度 (区分)
現在までの達成度 (区分)

2: おおむね順調に進展している

理由

Based on the current results, I have achieved the predetermined goal. This laid the foundation and good expectations for the next-year experiments. Moreover, some related research results on noise-assisted Ising machine with asymmetric nonlinearity were also presented at the domestic conference.

今後の研究の推進方策

(1) Connect circuit modules (such as noise modulation circuit) with spin wave measurement systems (e.g., vector network analyzer). This can achieve the measurement and modulation of time-domain spin wave signals.

(2) Expand testing results from being limited to white noise to at least four types of colored noise conditions.

(3) Typically, achieving the highest success rate for different classes of problems (COPs) requires different spin coupling strengths and noise conditions. Therefore, in constructing hardware for spin wave GIMs, challenging COPs relevant to real-world scenarios are chosen as benchmarks. Initially, parameter ranges are roughly determined through simulations.Subsequently, optimal system parameters are determined through experiments.

次年度使用額が生じた理由

After purchasing some research hardware, there is still a little remaining. I will mainly use it for expenses such as stationery and printing expenses during the next-year research.

  • 研究成果

    (5件)

すべて 2024 2023

すべて 雑誌論文 (2件) (うち査読あり 2件、 オープンアクセス 1件) 学会発表 (3件) (うち国際学会 1件)

  • [雑誌論文] Robust QRS detection based on simulated degenerate optical parametric oscillator-assisted neural network2024

    • 著者名/発表者名
      Liao Zhiqiang、Shi Zhuozheng、Sarker Md Shamim、Tabata Hitoshi
    • 雑誌名

      Heliyon

      巻: 10 ページ: e28903~e28903

    • DOI

      10.1016/j.heliyon.2024.e28903

    • 査読あり / オープンアクセス
  • [雑誌論文] Enhancing Performance of Convolutional Neural Network-Based Epileptic Electroencephalogram Diagnosis by Asymmetric Stochastic Resonance2023

    • 著者名/発表者名
      Shi Zhuozheng、Liao Zhiqiang、Tabata Hitoshi
    • 雑誌名

      IEEE Journal of Biomedical and Health Informatics

      巻: 27 ページ: 4228~4239

    • DOI

      10.1109/JBHI.2023.3282251

    • 査読あり
  • [学会発表] Spin cluster glass-based Ising machine with stochastic resonance effect2024

    • 著者名/発表者名
      Zhiqiang Liao, Kaijie Ma, Hiroyasu Yamahara, Munetoshi Seki, and Hitoshi Tabata
    • 学会等名
      The 71st JSAP Spring Meeting 2024
  • [学会発表] Noise-robust logic gate based on double-well Dikande-Kofane potential2023

    • 著者名/発表者名
      Zhiqiang Liao, Keying Huang, Siyi Tang, Hiroyasu Yamahara, Munetoshi Seki, and Hitoshi Tabata
    • 学会等名
      The 84th JSAP Autumn Meeting 2023
  • [学会発表] Enhanced Intelligent Diagnosis of Epileptic Electroencephalogram Based on Asymmetric Stochastic Resonance2023

    • 著者名/発表者名
      Zhiqiang Liao, Zhuozheng Shi, and Hitoshi Tabata
    • 学会等名
      1st Beijing Interdisciplinary Science Conference 2023
    • 国際学会

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公開日: 2024-12-25  

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