Scinovex
article Open AccessTop 1% cited

Time-evolution methods for matrix-product states

Annals of Physics · 2019 · Vol. 411 · pp. 167998–167998
Sebastian PaeckelThomas KöhlerAndreas SwobodaSalvatore R. ManmanaUlrich SchollwöckClaudius Hubig

Abstract

Matrix-product states have become the de facto standard for the representation of one-dimensional quantum many body states. During the last few years, numerous new methods have been introduced to evaluate the time evolution of a matrix-product state. Here, we will review and summarize the recent work on this topic as applied to finite quantum systems. We will explain and compare the different methods available to construct a time-evolved matrix-product state, namely the time-evolving block decimation, the MPO WI,II method, the global Krylov method, the local Krylov method and the one- and two-site time-dependent variational principle. We will also apply these methods to four different representative examples of current problem settings in condensed matter physics.

Quantum many-body systemsQuantum Mechanics and Non-Hermitian PhysicsCold Atom Physics and Bose-Einstein CondensatesRepresentation (politics)Construct (python library)De factoQuantumBlock (permutation group theory)Work (physics)

Funding

  • Deutsche Forschungsgemeinschaft
Citations
623
FWCI
41.52
field-weighted impact
References
76
Percentile
100%
vs. same field & year
Citations per year
References
Unifying time evolution and optimization with matrix product states
Physical review. B./Physical review. B · 2016 · 789 citations
<i>Colloquium</i>: Area laws for the entanglement entropy
Reviews of Modern Physics · 2010 · 2,755 citations
Density-matrix algorithms for quantum renormalization groups
Physical review. B, Condensed matter · 1993 · 3,197 citations
Time-dependent quantum-mechanical methods for molecular dynamics
The Journal of Physical Chemistry · 1988 · 1,772 citations
Density matrix formulation for quantum renormalization groups
Physical Review Letters · 1992 · 7,586 citations
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.