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A simpler Gaussian state-preparation

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arxiv 2508.03987 v1 pith:KBJKYIIL submitted 2025-08-06 quant-ph

A simpler Gaussian state-preparation

classification quant-ph
keywords gaussianmethodpolynomialresourcerotationsstate-prepareabilityalgorithm
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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 $\lfloor(n-1)/2\rfloor$ 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.

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Cited by 1 Pith paper

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    Explicit block encoding of the DoG operator achieves constant subnormalization factor λ=2 and a closed-form success probability that scales as O(h^4) on fine grids.