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SUMMARY:Linear-Scaling Electronic Structure and Quantum Simulations via th
 e Stochastic Propagation Method
DTSTART:20261105T023000Z
DTEND:20261105T033000Z
DTSTAMP:20261105T145500Z
UID:indico-event-5417@indico-tdli.sjtu.edu.cn
DESCRIPTION:Speakers: Shengjun Yuan(袁声军) (Wuhan University)\n\nHost:
  Prof. Xin Liu  \nVenue: TDLI Meeting Room N601\nTencent Meeting link: 
 https://meeting.tencent.com/dm/9Aecpehs5DOo\nMeeting ID: 570864770\, no pa
 ssword\n \nAbstract:\nElectronic structure and quantum simulations in con
 densed matter physics often rely on solving the time-independent Schrödin
 ger equation\, with states and observables obtained via matrix diagonaliza
 tion. However\, the cubic scaling with system size severely limits the app
 licability of these approaches to complex\, disordered\, or large-scale sy
 stems. In this talk\, I will introduce the stochastic propagation method (
 sPM)\, a linear-scaling approach that maps static problems onto the time-d
 ependent Schrödinger equation framework. By propagating random states tha
 t sample the Hilbert space\, this approach circumvents costly matrix diago
 nalization and enables calculations of electronic structure\, optical resp
 onse\, quantum transport\, magnetism\, and plasmons at large length scales
 \, expanding accessible simulation sizes by several orders of magnitude. O
 riginally developed for large-scale tight-binding models\, this methodolog
 y also extends to density functional theory. Furthermore\, I will highligh
 t extensions of sPM to quantum spin systems\, the Hubbard model\, and latt
 ice dynamics (phonons)\, and conclude with recent advances in integrating 
 stochastic propagation with machine learning.\n \nBiography:\nShengjun Yu
 an is a Professor in the School of Physics and Technology at Wuhan Univers
 ity. He received his BSc from Zhejiang University in 2001 and his PhD from
  the University of Groningen\, the Netherlands\, in 2008. He has received 
 several recognitions\, including the Netherlands Foundation for Fundamenta
 l Research on Matter\, China’s National Young Talent Program\, and the N
 ational Science Fund for Distinguished Young Scholars. His research focuse
 s on the development of novel computational methods in physics. He has dev
 eloped large-scale first-principles approaches\, including TBPM and DFPM\,
  and applied them to a wide range of problems in complex quantum systems a
 nd condensed matter physics. He has also independently developed several c
 omputational physics software packages\, such as TBPLaS and ABPLaS. Profes
 sor Yuan has published over 160 papers in leading international journals\,
  including Nature\, Science\, and Nature Materials\, with more than 80 art
 icles in the Physical Review series.\n\nhttps://indico-tdli.sjtu.edu.cn/ev
 ent/5417/
LOCATION:Tsung-Dao Lee Institute/N6F-N601 - Meeting Room (Tsung-Dao Lee In
 stitute)
URL:https://indico-tdli.sjtu.edu.cn/event/5417/
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