Quantum Epidemiology: Operator Growth, Thermal Effects, and SYK
Xiao-Liang Qi, Alexandre Streicher
TL;DR
This work advances the understanding of quantum chaos by moving beyond coarse operator-size probes to derive the full finite-temperature operator-growth structure. Using a purification-based framework, it maps operators to states in a doubled Hilbert space, constructs an orthonormal Majorana basis, and defines a size generating function to access all moments of operator size. Applying the method to the SYK model in the large-q limit, the authors obtain a closed-form growth distribution that reveals a simple temperature dependence and a dynamical renormalization of the coupling, tying scrambling slowdown to a thermally renormalized size unit. The finite-temperature epidemic-model interpretation provides an intuitive, quantitative picture of how thermal factors vaccinate a fraction of degrees of freedom and slow down operator growth, with potential implications for holography and chaotic dynamics in fermionic systems.
Abstract
In many-body chaotic systems, the size of an operator generically grows in Heisenberg evolution, which can be measured by certain out-of-time-ordered four-point functions. However, these only provide a coarse probe of the full underlying operator growth structure. In this article we develop a methodology to derive the full growth structure of fermionic systems, that also naturally introduces the effect of finite temperature. We then apply our methodology to the SYK model, which features all-to-all $q$-body interactions. We derive the full operator growth structure in the large $q$ limit at all temperatures. We see that its temperature dependence has a remarkably simple form consistent with the slowing down of scrambling as temperature is decreased. Furthermore, our finite-temperature scrambling results can be modeled by a modified epidemic model, where the thermal state serves as a vaccinated population, thereby slowing the overall rate of infection.
