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Quantum Simulation
Fast-forwarding quantum algorithms for weakly nonlinear dissipative differential equations and beyond
arXiv
Authors: Yixiang Li, Dong An
Year
2026
Paper ID
76337
Status
Preprint
Abstract Read
~2 min
Abstract Words
146
Citations
N/A
Abstract
We study a fast-forwarded quantum algorithm for solving weakly nonlinear dissipative ordinary differential equations. Our approach is a combination of the Carleman embedding technique and the linear combination of Hamiltonian simulation algorithm for linearized systems with fast-forwarded scaling. The complexity of our algorithm does not explicitly depend on the evolution time T, thus greatly improving the previous state-of-the-art widetilde{mathcal{O}}\(sqrt{T}\) to mathcal{O}(1), and any remaining time dependence enters through the output norm and forcing parameters. We rigorously analyze the performance of this approach by convergence guarantees of the Carleman embedding for time-dependent coefficient matrices and detailed complexity estimates, and improve the realization of the Carleman-embedding-based algorithms by simplifying the post-selection step. In addition, we perform a numerical study on differential equations beyond the weakly nonlinear case, and identify possibility of achieving fast-forwarding scaling for systems with stronger nonlinearity or linear non-resonant effect.
Why This Paper Matters
- This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
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- We study a fast-forwarded quantum algorithm for solving weakly nonlinear dissipative ordinary differential equations.
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