Entanglement dynamics of multi-parametric random states: a single parametric formulation
Devanshu Shekhar, Pragya Shukla

TL;DR
This paper develops a unified, parametric framework to analyze the entanglement dynamics of complex, multi-parametric random quantum states, resolving existing debates and providing new insights into their information growth.
Contribution
It introduces a generalized Wishart ensemble model for multi-parametric states and derives a common mathematical formulation for entanglement measures based on a complexity parameter.
Findings
Resolved controversy on entropy growth rates
Established a universal mathematical framework for entanglement measures
Provided insights into entanglement hierarchy and dynamics
Abstract
A non-ergodic quantum state of a many body system is in general random as well as multi-parametric, former due to a lack of exact information due to complexity and latter reflecting its varied behavior in different parts of the Hilbert space. An appropriate representation for the reduced density matrix of such a state is a generalized, multi-parametric Wishart ensemble with unit trace. Our theoretical analysis of these ensembles not only resolves the controversy about the growth rates of the average information entropies of the generic states but also leads to new insights in their entanglement dynamics. While the state itself is multi-parametric, we find that the growth of the average measures can be described in terms of an information-theoretic function, referred as the complexity parameter. The latter in turn leads to a common mathematical formulation of the measures for a wide…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum many-body systems · Statistical Mechanics and Entropy · Quantum Information and Cryptography
