The Entanglement Hierarchy 2 x m x n Systems
M. Hebenstreit, M. Gachechiladze, O. G\"uhne, B. Kraus

TL;DR
This paper studies the classification and transformation of three-partite quantum states in specific Hilbert spaces, revealing a hierarchy of entanglement classes and identifying optimal resource states for state transformations.
Contribution
It introduces a hierarchy of SLOCC classes for 3-partite states in 2 x m x n systems and explicitly constructs optimal resource states for transformations between different dimensions.
Findings
Generic states in 2 x m x m form infinitely many SLOCC classes parameterized by m-3 parameters.
For n ≠ m, a single generic SLOCC class exists.
A full-measure set of states can be transformed to lower-dimensional states, with explicit resource states derived.
Abstract
We consider three-partite pure states in the Hilbert space and investigate to which states a given state can be locally transformed with a non-vanishing probability. Whenever the initial and final states are elements of the same Hilbert space, the problem can be solved via the characterization of the entanglement classes which are determined via stochastic operations and classical communication (SLOCC). In general, there are infinitely many SLOCC classes. However, when considering transformations from higher- to lower-dimensional Hilbert spaces, an additional hierarchy among the classes can be found. This hierarchy of SLOCC classes coarse grains SLOCC classes which can be reached from a common resource state of higher dimension. We first show that a generic set of states in …
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Taxonomy
TopicsNeural Networks and Applications · Statistical and numerical algorithms · Numerical Methods and Algorithms
