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This research presents the first unconditionally successful quantum algorithm for simulating nonlinear partial differential equations, specifically addressing the Burgers equation without relying on probabilistic postselection. By leveraging linear combination of unitaries and quantum lattice gas methods, it eliminates computational costs associated with non-unitary operations in time-marching formulations. This advancement represents a significant theoretical step toward practical quantum simulation of complex fluid dynamics systems.
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Unconditionally successful quantum Time-Marching algorithm via LCU for nonlinear Burgers equation

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arXiv:2608.02130v1 Announce Type: new Abstract: Most recently proposed quantum algorithms for solving linear and nonlinear partial differential equations rely on non-unitary operations. These operations are typically implemented probabilistically, requiring postselection and thus increasing the computational cost. We show that quantum lattice gas algorithms enable unconditionally successful quantum simulation of nonlinearities, yielding, to our knowledge, the first quantum algorithm for Burgers equation whose time steps can be concatenated without probabilistic failure. The key idea is to exploit the correspondence between the stochasticity of quantum measurement in the linear combination of unitaries framework and the intrinsic randomness of the classical lattice gas algorithm. In doing so, we identify general properties that characterize probabilistic classical algorithms amenable to this time-marching formulation, and illustrate the approach with an additional application.

Abstract:Most recently proposed quantum algorithms for solving linear and nonlinear partial differential equations rely on non-unitary operations. These operations are typically implemented probabilistically, requiring postselection and thus increasing the computational cost. We show that quantum lattice gas algorithms enable unconditionally successful quantum simulation of nonlinearities, yielding, to our knowledge, the first quantum algorithm for Burgers equation whose time steps can be concatenated without probabilistic failure. The key idea is to exploit the correspondence between the stochasticity of quantum measurement in the linear combination of unitaries framework and the intrinsic randomness of the classical lattice gas algorithm. In doing so, we identify general properties that characterize probabilistic classical algorithms amenable to this time-marching formulation, and illustrate the approach with an additional application.

arXiv:2608.02130 [quant-ph]

(or arXiv:2608.02130v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2608.02130 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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