Efficient Simulation of Tensor Networks with Loop Optimization (Mar. 23, 2017)

  • Published: 2017-03-22
Abstract:
Tensor network approach is a powerful theoretical and computational tool for studying condensed matter systems. Simulating a two-dimensional quantum system using Projected Entangled-Pair States (PEPS) usually contains two major steps: (1) finding out the PEPS wave function using variational algorithms, and (2) evaluating the expectation values of physical observables using coarse-graining methods. In this talk, I will present a loop optimization scheme which can significantly improve the accuracy in both steps. The key idea is to deform a tensor network into small loops and then optimize tensors on each loop. Our scheme is computationally affordable even for a large bond degree of freedom. We benchmark our method on various models and compare to the results based on simple update.
 
Speaker:
Shuo Yang
Newton's Chair Postdoctoral fellow, Perimeter Institute for Theoretical Physics.
 
Main Research Directions:
1. Numerical simulation of quantum many-body systems
2. Topological states of matter
3. Interplay between condensed matter and quantum information
 
Time:         11:00 am, 23th March (Thur.), 2017
Location:   Room 830, M Building of the Institue of Physics, CAS
Invited by: Jiang-Ping Hu (IOP, CAS)
Tel:             82649414
 
 
 
 
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