Universality in volume law entanglement of pure quantum states
Yuya O. Nakagawa, Masataka Watanabe, Hiroyuki Fujita, Sho Sugiura
TL;DR
The paper tackles how entanglement entropy in pure quantum states deviates from the simple volume law as subsystem size grows, linking this behavior to thermodynamics and experimental observations. It derives a universal two-parameter formula for the second Rényi Page curve in canonical thermal pure quantum states, showing that the curve is governed by a slope a(β) and an offset K(β) and that the universal form extends to scrambled pure states beyond cTPQ. The authors demonstrate the formula's universality by fitting it to non-integrable energy eigenstates and post-quench states, while integrable eigenstates deviate, providing a diagnostic for chaos. They further apply the framework to ETH–MBL transitions, performing finite-size scaling that yields improved estimates of the critical exponent and critical disorder strength, highlighting the practical value of the Page-curve fitting in analyzing thermalization and localization in many-body systems.
Abstract
A pure quantum state can fully describe thermal equilibrium as long as one focuses on local observables. Thermodynamic entropy can also be recovered as the entanglement entropy of small subsystems. When the size of the subsystem increases, however, quantum correlations break the correspondence and cause a correction to this simple volume-law. To elucidate the size dependence of the entanglement entropy is of essential importance in linking quantum physics with thermodynamics, and in addressing recent experiments in ultra-cold atoms. Here we derive an analytic formula of the entanglement entropy for a class of pure states called cTPQ states representing thermal equilibrium. We further find that our formula applies universally to any sufficiently scrambled pure states representing thermal equilibrium, i.e., general energy eigenstates of non-integrable models and states after quantum quenches. Our universal formula can be exploited as a diagnostic of chaotic systems; we can distinguish integrable models from chaotic ones and detect many-body localization with high accuracy.
