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SUMMARY:Application of Quantic tensor train in solving Gross-Pitaevskii Eq
 uation\, Prof. Chia-Min Chung [鍾佳民]\, NYCU
DTSTART:20260303T053000Z
DTEND:20260303T070000Z
DTSTAMP:20260420T120500Z
UID:indico-event-174@indico.phys.nthu.edu.tw
DESCRIPTION:Abstract:In this talk\, I will present a tensor network framew
 ork based on the Quantic Tensor Train (QTT) format to efficiently solve th
 e Gross-Pitaevskii Equation. By adapting Time-Dependent Variational Princi
 ple (TDVP) and gradient descent to handle the GPE’s inherent nonlinearit
 ies\, we achieve high-resolution simulations of BEC dynamics—such as vor
 tex lattice formation—at a fraction of the traditional computational cos
 t. We demonstrate that saturating bond dimensions allows for stable\, long
 -time evolution\, establishing QTT as a superior\, scalable alternative to
  conventional grid-based methods for nonlinear quantum systems.\n\nhttps:/
 /indico.phys.nthu.edu.tw/event/174/
URL:https://indico.phys.nthu.edu.tw/event/174/
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