Efficient simulation of Grassmann Tensor Product States

TL;DR

This paper introduces a simplified and efficient method for simulating Grassmann tensor product states, enhancing the GTERG approach for strongly correlated fermion systems, demonstrated on a 2D honeycomb lattice.

Contribution

The paper develops a standard form of GTPS and an imaginary-time-evolution algorithm, making simulations more efficient and accurate for fermionic systems.

Findings

Efficient GTPS representation reduces computational complexity.

Algorithm successfully applied to 2D free fermion system.

Improved accuracy by considering environment effects.

Abstract

Recently, the Grassmann-tensor-entanglement renormalization group(GTERG) approach was proposed as a generic variational approach to study strongly correlated boson/fermion systems. However, the weakness of such a simple variational approach is that generic Grassmann tensor product states(GTPS) with large inner dimension $D$ will contain a large number of variational parameters and be hard to be determined through usual minimization procedures. In this paper, we first introduce a standard form of GTPS which significantly simplifies the representations. Then we describe a simple imaginary-time-evolution algorithm to efficiently update the GTPS based on the fermion coherent state representation and show all the algorithm developed for usual tensor product states(TPS) can be implemented for GTPS in a similar way. Finally, we study the environment effect for the GTERG approach and propose a simple method to further improve its accuracy. We demonstrate our algorithms by studying a simple 2D free fermion system on honeycomb lattice, including both off-critical and critical cases.