TEDOPA

This is the documentation for the TEDOPA.jl package.

TEDOPA is a package that implements the Time Evolving Density operator with Orthogonal Polynomials Algorithm (TEDOPA) [1, 2], a transformation that maps a continuous Gaussian environment into a discrete chain of modes. Starting from the spectral density function, the temperature and the chemical potential (if applicable), the package computes the parameters that define the TEDOPA-transformed environment.

Installation

From a registry

This package is registered in the TensorNetworkSimulations registry. If you haven't already done so, add it to your Julia installation by running

using Pkg
pkg"registry add https://github.com/phaerrax/TensorNetworkSimulations.git"

(this must be done just once per Julia installation). The package can then be installed as a normal one:

using Pkg
pkg"add TEDOPA"

From GitHub

Alternatively, straight installation from GitHub is also possible:

using Pkg
pkg"add https://github.com/phaerrax/TEDOPA.jl"

Package features

This package offers several ways of computing the chain mapping, all derived from the original TEDOPA algorithm.

  • chainmapping_tedopa: the standard chain mapping [1, 2], for a single environment.
  • chainmapping_ttedopa: thermalised chain mapping for a bosonic environment [3].
  • chainmapping_tftedopa: single-chain thermalised chain mapping for a fermionic environment [4].
  • chainmapping_thermofield: a thermofield transformation [5] followed by a chain mapping of the resulting (fermionic) environments, that can also merge multiple multiple environments together [6].

See Reference for a detailed explanation of the available methods.

Bibliography

[1]
J. Prior, A. W. Chin, S. F. Huelga and M. B. Plenio. Efficient Simulation of Strong System-Environment Interactions. Physical Review Letters 105 (2010).
[2]
A. W. Chin, Á. Rivas, S. F. Huelga and M. B. Plenio. Exact mapping between system-reservoir quantum models and semi-infinite discrete chains using orthogonal polynomials. Journal of Mathematical Physics 51 (2010).
[3]
D. Tamascelli, A. Smirne, J. Lim, S. F. Huelga and M. B. Plenio. Efficient Simulation of Finite-Temperature Open Quantum Systems. Physical Review Letters 123 (2019).
[4]
A. Nüßeler, I. Dhand, S. F. Huelga and M. B. Plenio. Efficient simulation of open quantum systems coupled to a fermionic bath. Physical Review B 101 (2020).
[5]
I. de Vega and M.-C. Bañuls. Thermofield-based chain-mapping approach for open quantum systems. Physical Review A 92 (2015).
[6]
D. Ferracin, A. Smirne, S. F. Huelga, M. B. Plenio and D. Tamascelli. Spectral density modulation and universal Markovian closure of fermionic environments. The Journal of Chemical Physics 161 (2024).