Entanglement between two subsystems, the Wigner semicircle and extreme value statistics
Udaysinh T. Bhosale, Steven Tomsovic, Arul Lakshminarayan

TL;DR
This paper investigates the entanglement properties of random pure states through the spectral analysis of the partial transpose of their density matrices, revealing connections to random matrix theory, extreme value statistics, and phase transitions.
Contribution
It introduces a simple random matrix model for the partial transpose, derives analytic formulas for log-negativity, skewness, and extreme eigenvalue distributions, and links these to entanglement transitions in quantum systems.
Findings
Density of states follows the semicircle law for large subsystems.
Log-negativity can be accurately predicted by the model.
Smallest eigenvalue follows Tracy-Widom distribution, aiding in entanglement detection.
Abstract
The entanglement between two arbitrary subsystems of random pure states is studied via properties of the density matrix's partial transpose, . The density of states of is close to the semicircle law when both subsystems have dimensions which are not too small and are of the same order. A simple random matrix model for the partial transpose is found to capture the entanglement properties well, including a transition across a critical dimension. Log-negativity is used to quantify entanglement between subsystems and analytic formulas for this are derived based on the simple model. The skewness of the eigenvalue density of is derived analytically, using the average of the third moment over the ensemble of random pure states. The third moment after partial transpose is also shown to be related to a generalization of the Kempe invariant.…
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