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This research advances quantum simulation capabilities by applying the Quantum Singular Value Transform (QSVT) to solve linear advection-diffusion equations with high-order finite-difference operators. The study demonstrates that these higher-order methods substantially lower the gate and qubit counts needed for specific accuracy levels compared to standard approaches. Such efficiency gains are critical for scaling practical quantum algorithms toward solving complex partial differential equations in physics and engineering.
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A quantum advection-diffusion solver using the quantum singular value transform

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arXiv:2512.22163v3 Announce Type: replace Abstract: We present a quantum algorithm for the simulation of the linear advection-diffusion equation based on block encodings of high order finite-difference operators and the quantum singular value transform. Our complexity analysis shows that the higher order methods significantly reduce the number of gates and qubits required to reach a given accuracy. The theoretical results are supported by numerical simulations of one- and two-dimensional benchmarks.

Abstract:We present a quantum algorithm for the simulation of the linear advection-diffusion equation based on block encodings of high order finite-difference operators and the quantum singular value transform. Our complexity analysis shows that the higher order methods significantly reduce the number of gates and qubits required to reach a given accuracy. The theoretical results are supported by numerical simulations of one- and two-dimensional benchmarks.

arXiv:2512.22163 [quant-ph]

(or arXiv:2512.22163v3 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2512.22163 Focus to learn more arXiv-issued DOI via DataCite

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