Interpretable machine learning is used to extract a universal shortest analytic quantum algorithm for arbitrary diagonal matrices of any size.
Proof.IfX ≡R m is a trivial isomorphismRm∗ ∼= Rm 4.Ais linear and continuous operatorA:X → Y
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Machine Learning Approaches to Building Quantum Circuits for Sets of Matrices
Interpretable machine learning is used to extract a universal shortest analytic quantum algorithm for arbitrary diagonal matrices of any size.