HPC-Driven Modeling with ML-Based Surrogates for Magnon-Photon Dynamics in Hybrid Quantum System

We introduce a hybrid computational framework that merges HPC-based numerical solvers with physics-informed ML surrogates for efficient modeling of magnon-photon interactions. By running short-duration, high-fidelity Maxwell-LLG simulations and feeding their results into an ML model, we substantiall...

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Veröffentlicht in:	2025 International Applied Computational Electromagnetics Society Symposium (ACES) S. 1
Hauptverfasser:	Song, Jialin, Tang, Yingheng, Ren, Pu, Takayoshi, Shintaro, Sawant, Saurabh, Zhu, Yujie, Hu, Jia-Mian, Nonaka, Andy, Mahoney, Michael W., Erichson, Benjamin, Yao, Zhi Jackie
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Applied Computational Electromagnetics Society 18.05.2025
Schlagworte:	Accuracy Computational efficiency Computational electromagnetics Computational modeling Numerical models Predictive models Quantum system Spatiotemporal phenomena
Online-Zugang:	Volltext
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