Quantum algorithm for nonlinear differential equations
Seth Lloyd, Giacomo De Palma, Can Gokler, Bobak Kiani, Zi-Wen Liu,, Milad Marvian, Felix Tennie, Tim Palmer

TL;DR
This paper introduces a quantum algorithm capable of solving nonlinear differential equations exponentially faster than classical methods, with potential applications across physics, epidemiology, and engineering.
Contribution
It presents the first quantum algorithm specifically designed for nonlinear differential equations, extending quantum advantage beyond linear cases.
Findings
Quantum algorithm achieves exponential speedup over classical methods.
Potential to solve complex nonlinear systems like Navier-Stokes efficiently.
Applicable to diverse fields such as fluid dynamics and epidemiology.
Abstract
Quantum computers are known to provide an exponential advantage over classical computers for the solution of linear differential equations in high-dimensional spaces. Here, we present a quantum algorithm for the solution of nonlinear differential equations. The quantum algorithm provides an exponential advantage over classical algorithms for solving nonlinear differential equations. Potential applications include the Navier-Stokes equation, plasma hydrodynamics, epidemiology, and more.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Neural Networks and Reservoir Computing
