# Permutation symmetry and entanglement in quantum states of heterogeneous systems

## TL;DR

This paper extends the concept of permutation symmetry to heterogeneous quantum systems with subsystems of unequal dimensions, exploring how such symmetries relate to entanglement properties.

## Contribution

It introduces a new framework for permutation symmetry in heterogeneous systems and analyzes the entanglement characteristics of the associated eigenspaces.

## Key findings

- Nonsymmetric eigenspaces are completely entangled.
- States in these eigenspaces are equally entangled in original and permuted spaces.
- The method constructs matrices that encode permutation symmetries for heterogeneous systems.

## Abstract

Permutation symmetries of multipartite quantum states are defined only when the constituent subsystems are of equal dimensions. In this work we extend this notion of permutation symmetry to heterogeneous systems, that is, systems composed of subsystems having unequal dimensions. Given a tensor product space of $k$ subsystems (of arbitrary dimensions) and a permutation operation $\sigma$ over $k$ symbols, these states are such that they have identical decompositions (up to an overall phase) in the given tensor product space and the tensor product space obtained by the permuting the subsystems by $\sigma$. Towards this, we construct a matrix whose action is to simultaneously permute the subsystem label and subsystem dimension of a given state according to permutation $\sigma$. Eigenvectors of this matrix have the required symmetry. We then examine entanglement of states in the igenspaces of these matrices. It is found that all nonsymmetric eigenspaces of such matrices are completely entangled subspaces, with states being equally entangled in both the given tensor product space and the permuted tensor product space.