Preprint
Jul 2026
Structure-Agnostic Unitary Learning from Quantum Observable Dynamics with Application to Hamiltonian Identification
A variational algorithm for learning an unknown quantum unitary from time-series observable measurements, with no structural assumption about the target, and which combines SPSA's hardware-efficient two-point gradient estimation with Adam's adaptive moment updates.
M. Berkani
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