Time-dependent density-matrix renormalization-group using adaptive effective Hilbertspaces
Austrian Academy of Sciences · Universität Innsbruck · +3 more institutions
Abstract
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…
Citation impact
- FWCI
- 15.48
- Percentile
- 100%
- References
- 41
Authors
4Topics & keywords
- Density matrix renormalization group
- Matrix product state
- Hilbert space
- Computer science
- Density matrix
- Algorithm
- Statistical physics
- Quantum