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Quantum Simulation
Unconditionally successful quantum Time-Marching algorithm via LCU for nonlinear Burgers equation
arXiv
Authors: Niccolo Fonio, Giuseppe Di Molfetta, Pierre Sagaut
Year
2026
Paper ID
73915
Status
Preprint
Abstract Read
~2 min
Abstract Words
121
Citations
N/A
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.
Why This Paper Matters
- This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- Most recently proposed quantum algorithms for solving linear and nonlinear partial differential equations rely on non-unitary operations.
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