Bulletin of the American Physical Society
APS March Meeting 2023
Volume 68, Number 3
Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time
Session D62: Machine Learning for Quantum Matter I
3:00 PM–5:48 PM,
Monday, March 6, 2023
Room: Room 417
Sponsoring
Unit:
DCOMP
Chair: Ziyan Zhu, Stanford University
Abstract: D62.00008 : Fermionic isometric tensor network states in 2D*
4:48 PM–5:00 PM
Presenter:
Zhehao Dai
(University of California, Berkeley)
Authors:
Zhehao Dai
(University of California, Berkeley)
Yantao Wu
(University of California, Berkeley)
Taige Wang
(University of California, Berkeley)
Michael P Zaletel
(University of California, Berkeley)
quantum states with primarily local entanglement. Unlike in 1D, the exact computation of any physical expectation value of higher-dimensional TNS is exponentially hard. Recently, Michael Zaletel and Frank Pollman proposed a new ansatz isometric TNS (isoTNS), providing a solution to this problem and opening the possibility of a 2D DMRG algorithm. We generalize the definition to fermionic systems, discuss the representability of fermionic isoTNS, and benchmark a real-time/imaginary-time evolution algorithm.
*This work is partly supported by the Gordon and Betty Moore Foundation
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