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Mixed-state dynamics in one-dimensional quantum lattice systems: A time-dependent superoperator renormalization algorithm

Michael Zwolak, +1 more
- 12 Nov 2004 - 
- Vol. 93, Iss: 20, pp 207205-207205
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TLDR
An algorithm to study mixed-state dynamics in one-dimensional quantum lattice systems with a superoperator renormalization scheme to efficiently describe the state and the time evolving block decimation technique to efficiently update the state during a time evolution is presented.
Abstract
We present an algorithm to study mixed-state dynamics in one-dimensional quantum lattice systems. The algorithm can be used, e.g., to construct thermal states or to simulate real time evolution given by a generic master equation. Its two main ingredients are (i) a superoperator renormalization scheme to efficiently describe the state of the system and (ii) the time evolving block decimation technique to efficiently update the state during a time evolution. The computational cost of a simulation increases significantly with the amount of correlations between subsystems, but it otherwise depends only linearly on the system size. We present simulations involving quantum spins and fermions in one spatial dimension.

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Journal ArticleDOI

The density-matrix renormalization group in the age of matrix product states

TL;DR: This paper gives a detailed exposition of current DMRG thinking in the MPS language in order to make the advisable implementation of the family of D MRG algorithms in exclusively MPS terms transparent.
Journal ArticleDOI

The density-matrix renormalization group in the age of matrix product states

TL;DR: The density matrix renormalization group method (DMRG) has established itself over the last decade as the leading method for the simulation of the statics and dynamics of one-dimensional strongly correlated quantum lattice systems as mentioned in this paper.
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The density-matrix renormalization group

TL;DR: The density-matrix renormalization group (DMRG) as mentioned in this paper is a numerical algorithm for the efficient truncation of the Hilbert space of low-dimensional strongly correlated quantum systems based on a rather general decimation prescription.
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A Practical Introduction to Tensor Networks: Matrix Product States and Projected Entangled Pair States

TL;DR: This is a partly non-technical introduction to selected topics on tensor network methods, based on several lectures and introductory seminars given on the subject, that should be a good place for newcomers to get familiarized with some of the key ideas in the field.
Journal ArticleDOI

Matrix product states, projected entangled pair states, and variational renormalization group methods for quantum spin systems

TL;DR: In this paper, the authors review recent developments in the theoretical understanding and numerical implementation of variational renormalization group methods using matrix product states and projected entangled pair states, and present a survey of the literature.
References
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Book

Quantum Computation and Quantum Information

TL;DR: In this article, the quantum Fourier transform and its application in quantum information theory is discussed, and distance measures for quantum information are defined. And quantum error-correction and entropy and information are discussed.
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