Efficient Polynomial-Scaled Determination of Algebraic Entanglement Entropy Between Collective Degrees of Freedom
John Drew Wilson, Jarrod T. Reilly, Murray J. Holland

TL;DR
This paper introduces a polynomial-complexity method for calculating algebraic entanglement entropy in systems with multiple degrees of freedom, revealing linear growth of entanglement with particle number.
Contribution
It develops a symmetry-based approach leveraging Lie group representations to efficiently compute algebraic entanglement entropy in complex quantum systems.
Findings
Method reduces exponential complexity to polynomial for entanglement calculations.
Algebraic entanglement entropy can grow linearly with particle number.
Systems with two degrees of freedom per particle can be exactly simulated efficiently.
Abstract
In this work, we explore physical systems which support not only multipartite interparticle entanglement, but also intraparticle entanglement between different degrees of freedom of the constituent particles and entanglement between different degrees of freedom of different particles, i.e., algebraic entanglement. We derive a simple method for calculating the algebraic entanglement entropy between two of the particles' degrees of freedom from collective states of the whole ensemble. Our procedure makes use of underlying symmetries in these systems, in particular permutation symmetry of the particle indices, and shows a connection between the algebraic entanglement entropy in these systems and the irreducible representations of Lie groups which describe the particles' degrees of freedom. Namely, we use the direct sum over irreducible representations to diagonalize the reduced density…
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Taxonomy
TopicsQuantum many-body systems · Advanced Thermodynamics and Statistical Mechanics · Quantum Computing Algorithms and Architecture
