Abstract

While quantum computing provides an exponential advantage in solving linear differential equations, there are relatively few quantum algorithms for solving nonlinear differential equations. In our work, based on the homotopy perturbation method, we propose a quantum algorithm for solving n-dimensional nonlinear dissipative ordinary differential equations (ODEs). Our algorithm first converts the original nonlinear ODEs into the other nonlinear ODEs which can be embedded into finite-dimensional linear ODEs. Then we solve the embedded linear ODEs with quantum linear ODEs algorithm and obtain a state ϵ-close to the normalized exact solution of the original nonlinear ODEs with success probability Ω(1). The complexity of our algorithm is O(gηT poly(log(nT/ϵ))), where η, g measure the decay of the solution. Our algorithm provides exponential improvement over the best classical algorithms or previous quantum algorithms in n or ϵ.

Highlights

  • Nonlinear differential equations appear in many fields, such as fluid dynamics, biology, finance, etc

  • We propose a quantum algorithm for solving time-independent quadratic nonlinear dissipative ordinary differential equations (ODEs)

  • We focus on an initial value problem described by the n-dimensional quadratic ODEs

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Summary

INTRODUCTION

Nonlinear differential equations appear in many fields, such as fluid dynamics, biology, finance, etc. An early quantum algorithm for solving nonlinear ordinary differential equations (ODEs) is proposed in [17], but the complexity of the algorithm increases exponentially with the evolution time. Homotopy perturbation method[28,29,30] is a semi-analytical technique for solving linear as well as nonlinear ordinary/partial differential equations. This method, which is a combination of homotopy in topology and classic perturbation techniques, provides us with a convenient way to obtain analytic or approximate solutions for a wide variety of problems arising in different fields, such as Duffing equation[31], nonlinear wave equations[32] and so on.

QUADRATIC ODES
QUANTUM HOMOTOPY PERTURBATION METHOD
Homotopy perturbation method
Linear embedding
Quantum linear ODEs algorithm
Measurement
State preparation
Oracle construction of A
CONDITION NUMBER
SOLUTION ERROR
Homotopy perturbation method truncation error
Linear ODEs solution error
SUCCESS PROBABILITY
VIII. MAIN RESULT
Findings
CONCLUSION AND DISCUSSION
Full Text
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