Posted

Parker Kuklinski, Benjamin Rempfer, Kevin Obenland, Justin Elenewski (Aug 07 2025).
Abstract: The ability to efficiently state-prepare Gaussian distributions is critical to the success of numerous quantum algorithms. The most popular algorithm for this subroutine (Kitaev-Webb) has favorable polynomial resource scaling, however it faces enormous resource overheads making it functionally impractical. In this paper, we present a new, more intuitive method which uses exactly n1n-1 rotations, (n1)(n2)/2(n-1)(n-2)/2 two-qubit controlled rotations, and (n1)/2\lfloor(n-1)/2\rfloor ancilla to state-prepare an nn-qubit Gaussian state. We then apply optimizations to the circuit to render it linear in T-depth. This method can be extended to state-preparations of complex functions with polynomial phase.

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