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
n−1 rotations,
(n−1)(n−2)/2 two-qubit controlled rotations, and
⌊(n−1)/2⌋ ancilla to state-prepare an
n-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.