Abstract

We compare the efficiency of different matrix product state (MPS) based methods for the calculation of two-time correlation functions in open quantum systems. The methods are the purification approach[1] and two approaches[2,3] based on the Monte-Carlo wave function (MCWF) sampling of stochastic quantum trajectories using MPS techniques. We consider a XXZ spin chain either exposed to dephasing noise or to a dissipative local spin flip. We find that the preference for one of the approaches in terms of numerical efficiency depends strongly on the specific form of dissipation.

Highlights

  • To conclude we have presented a comparison of three different matrix product state (MPS) based methods for the calculation of two-time functions in open quantum systems

  • This comprises the purification approach and two different approaches based on the stochastic unraveling of the Lindblad dynamics

  • First we compared the two stochastic approaches in the situation of an XXZ spin chain subjected to a dephasing noise starting initially in the classical Neel state

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Summary

Introduction

The investigation of open quantum many-body systems has been a very active field of research over the past decades. In this work we present a comprehensive study on the application of matrix product state (MPS) algorithms to the determination of two-time correlation functions in open systems. L =1 describing a chain of L spins, where Jx and Jz are exchange couplings according to different spin directions and Slα is the spin operator in direction α at site l In equilibrium this model is well understood and exhibits in the ground state, three phases for different ratios of the interaction strengths [40, 41]: For −1 ≤ Jz/Jx ≤ 1 a gapless Tomonaga-Luttinger liquid is formed, whereas Jz/Jx < −1 and Jz/Jx > 1 present gapped phases showing ferromagnetic and antiferromagnetic nature, respectively. Similar ’lossy’ defects have been studied in a variety of models previously and interesting transport effects and meta-stable states have been identified [45,46,47,48,49,50,51,52,53,54,55]

Matrix product state approaches for open quantum system dynamics
Matrix product state formalism for closed systems
MPS representation of quantum many-body states
Time-dependent matrix product state algorithm
Purification of the density matrix
Representation of an initial state in the purified form
Time-evolution of the purified density matrix
Calculating expectation values within the purification approach
Monte-Carlo wave function method
Two-time correlations within the purification approach
Stochastic sampling: two approaches to two-time correlations
Conclusion
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