Partially Unitary Learning
Abstract
The problem of an optimal mapping between Hilbert spaces IN of | and OUT of |φ based on a set of wavefunction measurements (within a phase) l φl, l=1… M, is formulated as an optimization problem maximizing the total fidelity Σl=1M ω(l) |φl|U|l|2 subject to probability preservation constraints on U (partial unitarity). The constructed operator U can be considered as an IN to OUT quantum channel; it is a partially unitary rectangular matrix (an isometry) of dimension (OUT) × (IN) transforming operators as AOUT=U AIN U. An iterative algorithm for finding the global maximum of this optimization problem is developed, and its application to a number of problems is demonstrated. A software product implementing the algorithm is available from the authors.
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