Qade: Solving Differential Equations on Quantum Annealers
Quantum Physics
2022-04-11 v1 Machine Learning
High Energy Physics - Phenomenology
High Energy Physics - Theory
Abstract
We present a general method, called Qade, for solving differential equations using a quantum annealer. The solution is obtained as a linear combination of a set of basis functions. On current devices, Qade can solve systems of coupled partial differential equations that depend linearly on the solution and its derivatives, with non-linear variable coefficients and arbitrary inhomogeneous terms. We test the method with several examples and find that state-of-the-art quantum annealers can find the solution accurately for problems requiring a small enough function basis. We provide a Python package implementing the method at gitlab.com/jccriado/qade.
Cite
@article{arxiv.2204.03657,
title = {Qade: Solving Differential Equations on Quantum Annealers},
author = {Juan Carlos Criado and Michael Spannowsky},
journal= {arXiv preprint arXiv:2204.03657},
year = {2022}
}
Comments
10 pages, 1 figure