演講公告
新聞標題： ( 2025-09-09 )
演講主題：Quantum-inspired algorithm--Solving Gross-Pitaevskii Equation using Quantic Tensor Train
主講人：鍾佳民教授(陽明交大電物系)
演講日期：2025年9月23日(二) 14:00 –15:00
演講地點：(光復校區) 科學一館213室
摘要內容：
Abstract
The Quantic Tensor Train (QTT) is a tensor network framework that provides highly compact representations of high-dimensional functions and operators. This makes it a promising tool for tackling nonlinear partial differential equations that are otherwise computationally demanding. In this work, we explore the use of QTT for solving the Gross–Pitaevskii equation (GPE), a fundamental nonlinear model describing Bose–Einstein condensates and related quantum systems. By using QTT, we significantly reduce the computational complexity compared to conventional discretization methods, achieving efficient and scalable solutions. Our results demonstrate the potential of QTT to extend tensor network techniques beyond linear problems, opening the door to new applications in nonlinear quantum dynamics and many-body physics.相關檔案：Talk_1140923.pdf
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