{"ID":2850258,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.22221","arxiv_id":"2510.22221","title":"HPC-Driven Modeling with ML-Based Surrogates for Magnon-Photon Dynamics in Hybrid Quantum Systems","abstract":"Simulating hybrid magnonic quantum systems remains a challenge due to the large disparity between the timescales of the two systems. We present a massively parallel GPU-based simulation framework that enables fully coupled, large-scale modeling of on-chip magnon-photon circuits. Our approach resolves the dynamic interaction between ferromagnetic and electromagnetic fields with high spatiotemporal fidelity. To accelerate design workflows, we develop a physics-informed machine learning surrogate trained on the simulation data, reducing computational cost while maintaining accuracy. This combined approach reveals real-time energy exchange dynamics and reproduces key phenomena such as anti-crossing behavior and the suppression of ferromagnetic resonance under strong electromagnetic fields. By addressing the multiscale and multiphysics challenges in magnon-photon modeling, our framework enables scalable simulation and rapid prototyping of next-generation quantum and spintronic devices.","short_abstract":"Simulating hybrid magnonic quantum systems remains a challenge due to the large disparity between the timescales of the two systems. We present a massively parallel GPU-based simulation framework that enables fully coupled, large-scale modeling of on-chip magnon-photon circuits. Our approach resolves the dynamic intera...","url_abs":"https://arxiv.org/abs/2510.22221","url_pdf":"https://arxiv.org/pdf/2510.22221v3","authors":"[\"Jialin Song\",\"Yingheng Tang\",\"Pu Ren\",\"Shintaro Takayoshi\",\"Saurabh Sawant\",\"Yujie Zhu\",\"Jia-Mian Hu\",\"Andy Nonaka\",\"Michael W. Mahoney\",\"Benjamin Erichson\",\"Zhi Yao\"]","published":"2025-10-25T08:51:00Z","proceeding":"quant-ph","tasks":"[\"quant-ph\",\"cs.LG\",\"physics.comp-ph\"]","methods":"[]","has_code":false}