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Quantum Machine Learning

RepLAB: a computational/numerical approach to representation theory

arXiv
Authors: Denis Rosset, Felipe Montealegre-Mora, Jean-Daniel Bancal

Year

2019

Paper ID

14658

Status

Preprint

Abstract Read

~2 min

Abstract Words

35

Citations

N/A

Abstract

We present a MATLAB/Octave toolbox to decompose finite dimensionial representations of compact groups. Surprisingly, little information about the group and the representation is needed to perform that task. We discuss applications to semidefinite programming.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2019 reference point for readers tracking recent quantum research.
  • We present a MATLAB/Octave toolbox to decompose finite dimensionial representations of compact groups.

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