Identifying Rate-Limiting Factors Based on State Statistics in Quantum Monte Carlo Method for a Hydraulic Transmission
油圧式変速機を対象とした量子モンテカルロ法における状態統計に基づく律速因子同定
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- Publication code
- 20264539
- Paper/Info type
- JSAE Transaction
Vol.57 No.4
- Pages
- 791-796(Total 6 p)
- Date of publication
- Jul 2026
- Publisher
- JSAE
- Language
- Japanese
Detailed Information
| Category(J) | 論文 Translation |
|---|---|
| Category(E) | Paper |
| Author(J) | 1) 中川 修一, 2) 池上 聡一郎, 3) 阿部 倫大 |
| Author(E) | 1) Shuichi Nakagawa, 2) Soichiro Ikegami, 3) Tomohiro Abe |
| Affiliation(J) | 1) ヤンマーホールディングス株式会社, 2) ヤンマーホールディングス株式会社, 3) ヤンマーホールディングス株式会社 |
| Abstract(J) | 本研究は，油圧式変速機の静粛設計を対象とした量子モンテカルロ法の探査効率の律速因子を同定する手法を提案する．最適化の静的な正常性評価とトロッタ層間分散での解の縮退を定量化する動的評価の二段階スキームを構築し，解の縮退が量子アニーリングの駆動力の喪失を招き探査効率の低下につながる因果律を示している． Translation |
| Abstract(E) | This study proposes a method to identify rate-limiting factors affecting the exploration efficiency of the Quantum Monte Carlo method applied to the quiet design of hydraulic transmissions. The proposed two-step diagnostic scheme integrates a static evaluation, which verifies constraint satisfaction, search efficiency, and global exploration capability, with a dynamic uncertainty evaluation that quantifies solution degeneracy via Trotter slice variance. Mathematical findings demonstrate that the degeneracy attenuates the Hamiltonian gradient, diminishing the driving force of quantum annealing and degrading exploration efficiency. The validity of the proposed identification method has been successfully verified through its application to a hydraulic transmission. |
