2025 2nd International Conference on Computational Modeling and Applied Mathematics
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Speakers

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Prof. Shi Jin

Shanghai Jiao Tong University, China

Director of Institute of Natural Sciences, and Chair Professor of Mathematics, at Shanghai Jiao Tong University

Foreign Member of Academia Europaea and a Fellow of European Academy of Sciences


Speech Title: Random Batch Methods forClassical andQuantumMolecularDynamics

Abstract: Random batch methodswere introduced for general interacting particle systems with large number(N>>1)of particles, with a linear complexity of O(N). We extend this method  tomolecular dynamics with Coulomb interactions, in the framework of Ewald summation. We will show its superior performance compared to the current state-of-the-art methods (for example PPPM) for the corresponding problems, inboth computational efficiency and parallelizability.We use it not only to reduce the cost of long range interactions but also the short-range ones, and as a result we are able to simulate 10 million molecules with just one GPU.  We also extend it to quantum Monte-Carlo simulation. 



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Prof. Wanyang Dai

Nanjing University, China

Chief Scientist at Su Xia Control Technology

President and CEO of U.S. based (blochchain and quantum computing) SIR Forum (Industial 6.0 Forum)


Speech Title: SPDE-Diffusion Model and Quantum-transformer for Spatial-AI

Abstract: To support online decision-making for spatial-AI including coordinating smart agents/robots with AGI, we establish a generalized quantum-transformer (Q-Transformer) with the federated learning capability of prediction and adaptive feedback control interaction via SPDE-diffusion model. Our diffusion model is a forward-backward coupling stochastic partial differential equation system whose drift parameter vectors can be mapped to different real-world attentions for AGI. Our Q-Transformer consists of quantum encode-decode two parts of convolutional neural networks, which corresponds to the SPDE-diffusion model. This newly proposed Q-Transformer is integrated into our previously developed quantum cloud computing platform as its smart federated learning engine, which is supported by our recently designed and justified neutral atom quantum computer. Smart software agent and hardware robot coordination in specific applications will be presented.