TL;DR
This paper introduces a novel method combining finite-temperature t-DMRG and time-series prediction to accurately compute spectral functions in one-dimensional quantum systems at various temperatures, validated against exact and numerical solutions.
Contribution
The authors develop and demonstrate a new approach for calculating spectral functions at finite temperature using t-DMRG combined with time-series prediction, applicable to different quantum statistics.
Findings
Accurate spectral functions obtained for XX and XXX spin-1/2 chains.
Validation against exact solutions and quantum Monte Carlo data.
Method effective across a range of temperatures.
Abstract
We present for the first time time-dependent density-matrix renormalization-group simulations (t-DMRG) at finite temperatures. It is demonstrated how a combination of finite-temperature t-DMRG and time-series prediction allows for an easy and very accurate calculation of spectral functions in one-dimensional quantum systems, irrespective of their statistics, for arbitrary temperatures. This is illustrated with spin structure factors of XX and XXX spin-1/2 chains. For the XX model we can compare against an exact solution and for the XXX model (Heisenberg antiferromagnet) against a Bethe Ansatz solution and quantum Monte Carlo data.
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