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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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