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Time-dependent density-matrix renormalization-group using adaptive effective Hilbert spaces

A J Daley1,2, C Kollath3, U Schollwöck4 and G Vidal5

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An algorithm for the simulation of the evolution of slightly entangled quantum states has been recently proposed as a tool to study time-dependent phenomena in one-dimensional quantum systems. Its key feature is a time-evolving block-decimation (TEBD) procedure to identify and dynamically update the relevant, conveniently small, subregion of the otherwise exponentially large Hilbert space. Potential applications of the TEBD algorithm are the simulation of time-dependent Hamiltonians, transport in quantum systems far from equilibrium and dissipative quantum mechanics. In this paper we translate the TEBD algorithm into the language of matrix product states in order to both highlight and exploit its resemblances to the widely used density-matrix renormalization-group (DMRG) algorithms. The TEBD algorithm, being based on updating a matrix product state in time, is very accessible to the DMRG community and it can be enhanced by using well-known DMRG techniques, for instance in the event of good quantum numbers. More importantly, we show how it can be simply incorporated into existing DMRG implementations to produce a remarkably effective and versatile 'adaptive time-dependent DMRG' variant, that we also test and compare to previous proposals.


Keywords

density matrix renormalization group calculations

PACS

03.65.Yz Decoherence; open systems; quantum statistical methods

05.10.Cc Renormalization group methods

03.67.Mn Entanglement measures, witnesses, and other characterizations

MSC

81T17 Renormalization group methods

82C10 Quantum dynamics and nonequilibrium statistical mechanics (general)

Subjects

Computational physics

Statistical physics and nonlinear systems

Quantum information and quantum mechanics

Dates

Issue 04 (April 2004)

Received 17 March 2004, accepted for publication 6 April 2004

Published 21 April 2004



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