Hierarchical graph states of k-uniform and absolutely maximally entangled states

ORAL

Abstract

It is important to characterize the entanglement properties of multipartite quantum states such as graph states, k-uniform, and Absolutely-Maximally-Entangled (AME) states. By merging these concepts we provide a remarkable relationship between geometry of graph states and entanglement of the corresponding states.

The k-uniform states are a particular type of highly entangled states, all of their reductions to k parties are maximally-mixed. A special case of this set are AME states that are maximally entangled along any splitting of parties into two groups. Moreover, the graph states are another set of well-entangled quantum states defined based on a graph, are also a class of stabilizer states.

We present a hierarchical procedure that leads us to study the geometric structure of k-uniform and AME states in the graph states representation. First, we introduce the most generalized method of constructing k-uniform and AME states from classical-error-correcting codes. Next, we introduce hierarchical graph states that construct the highly entangled states by iterating a certain geometric structure in graph state representation. We also show at each level of iteration the states that are all k-uniform cannot be converted into each other by SLOCC (stochastic local operations and classical communication).

Publication: The main results of this abstract will appear on the arXiv very soon (end of October). Other references are as follows


"Constructions of k-uniform and absolutely maximally entangled states beyond maximum distance codes"
Authors: Zahra Raissi, Adam Teixido, Christian Gogolin, Antonio Acin
Phys. Rev. Research 2, 033411 (2020)
arXiv:1910.12789

Modifying method of constructing quantum codes from highly entangled states
Authors: Zahra Raissi
IEEE Access, vol. 8, pp. 222439-222448, 2020
arXiv:2005.01426

Presenters

  • Zahra Raissi

    Virginia Tech

Authors

  • Zahra Raissi

    Virginia Tech

  • Adam Burchardt

    Jagiellonian University

  • Edwin Barnes

    Virginia Tech