PCA and t-SNE applied to QAOA parameters from max-cut instances reveal distinct patterns and higher preserved variance for entangled mixing operators at depths 2L and 3L.
Accelerating t-SNE using tree-based algorithms.The Journal Of Machine Learning Research
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PCA and t-SNE analysis in the study of QAOA entangled and non-entangled mixing operators
PCA and t-SNE applied to QAOA parameters from max-cut instances reveal distinct patterns and higher preserved variance for entangled mixing operators at depths 2L and 3L.