English

Equiangular tight frames and unistochastic matrices

Mathematical Physics 2017-06-07 v2 math.MP

Abstract

In this work, we show that a complex equiangular tight frame (ETF) composed by NN vectors in dimension dd exists if and only if a certain bistochastic matrix, univocally determined by NN and dd, belongs to a special class of unistochastic matrices. This connection allows us to find new complex ETF in infinitely many dimensions and to derive a method to introduce non-trivial free parameters in ETF. We derive a 6-parametric family of complex ETF(6,16), which defines a family of symmetric POVM. Minimal and maximal possible average entanglement of the vectors within this qubit-qutrit family are presented. Furthermore, we propose an efficient numerical procedure to find the unitary matrix underlying a unistochastic matrix, which we apply to find all existing classes of complex ETF containing up to 19 vectors.

Cite

@article{arxiv.1607.04528,
  title  = {Equiangular tight frames and unistochastic matrices},
  author = {Dardo Goyeneche and Ondrej Turek},
  journal= {arXiv preprint arXiv:1607.04528},
  year   = {2017}
}

Comments

17 pages, 3 figures. Comments are very welcome!

R2 v1 2026-06-22T14:55:49.391Z