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Statut |
Confirmé |
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Série |
SEM-LPTMC |
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Domaines |
cond-mat |
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Date |
Jeudi 17 Juillet 2025 |
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Heure |
11:00 |
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Institut |
LPTMC |
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Salle |
Jussieu, LPTMC seminar room, towers 13-12, 5th floor, room 523 |
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Nom de l'orateur |
Gu |
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Prenom de l'orateur |
Zhengcheng |
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Addresse email de l'orateur |
zcgu [at] phy [dot] cuhk [dot] edu [dot] hk |
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Institution de l'orateur |
The Chinese University of Hong-Kong |
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Titre |
Tensor network simulation in strongly correlated systems: past, present and future |
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Résumé |
Tensor network states are new kinds of variational wavefunctions that help us to understand quantum
phases and phase transitions beyond Landau paradigm. In this talk, I will first review the major
development of tensor network simulation in the past two decades. I will introduce the novel concept of
long-range entanglement and entanglement renormalization. Then I will discuss the major breakthroughs
made by tensor network simulations in recent years. If time permits, I will also mention the relationship
between deep learning and tensor network simulation. |
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Numéro de preprint arXiv |
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Commentaires |
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Fichiers attachés |
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