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Information scrambling at finite temperature in local quantum systems
- Source :
- Physical Review B. 102
- Publication Year :
- 2020
- Publisher :
- American Physical Society (APS), 2020.
-
Abstract
- This paper investigates the temperature dependence of quantum information scrambling in local systems with an energy gap, $m$, above the ground state. We study the speed and shape of growing Heisenberg operators as quantified by out-of-time-order correlators, with particular attention paid to so-called contour dependence, i.e. dependence on the way operators are distributed around the thermal circle. We report large scale tensor network numerics on a gapped chaotic spin chain down to temperatures comparable to the gap which show that the speed of operator growth is strongly contour dependent. The numerics also show a characteristic broadening of the operator wavefront at finite temperature $T$. To study the behavior at temperatures much below the gap, we perform a perturbative calculation in the paramagnetic phase of a 2+1D O($N$) non-linear sigma model, which is analytically tractable at large $N$. Using the ladder diagram technique, we find that operators spread at a speed $\sqrt{T/m}$ at low temperatures, $T\ll m$. In contrast to the numerical findings of spin chain, the large $N$ computation is insensitive to the contour dependence and does not show broadening of operator front. We discuss these results in the context of a recently proposed state-dependent bound on scrambling.<br />Comment: 28+17 pages
- Subjects :
- High Energy Physics - Theory
Physics
Quantum Physics
Statistical Mechanics (cond-mat.stat-mech)
Strongly Correlated Electrons (cond-mat.str-el)
FOS: Physical sciences
02 engineering and technology
Function (mathematics)
021001 nanoscience & nanotechnology
01 natural sciences
Scrambling
Condensed Matter - Strongly Correlated Electrons
Operator (computer programming)
High Energy Physics - Theory (hep-th)
0103 physical sciences
Thermal
Quantum system
Statistical physics
Tensor
Quantum information
Quantum Physics (quant-ph)
010306 general physics
0210 nano-technology
Quantum
Condensed Matter - Statistical Mechanics
Subjects
Details
- ISSN :
- 24699969 and 24699950
- Volume :
- 102
- Database :
- OpenAIRE
- Journal :
- Physical Review B
- Accession number :
- edsair.doi.dedup.....c19065dfe7cd823a4a5bc7607af83d9f
- Full Text :
- https://doi.org/10.1103/physrevb.102.184303