Variational quantum simulation of partial differential equations: applications in colloidal transport

Author:

Leong Fong Yew,Koh Dax Enshan,Ewe Wei-Bin,Kong Jian Feng

Abstract

Purpose This study aims to assess the use of variational quantum imaginary time evolution for solving partial differential equations using real-amplitude ansätze with full circular entangling layers. A graphical mapping technique for encoding impulse functions is also proposed. Design/methodology/approach The Smoluchowski equation, including the Derjaguin–Landau–Verwey–Overbeek potential energy, is solved to simulate colloidal deposition on a planar wall. The performance of different types of entangling layers and over-parameterization is evaluated. Findings Colloidal transport can be modelled adequately with variational quantum simulations. Full circular entangling layers with real-amplitude ansätze lead to higher-fidelity solutions. In most cases, the proposed graphical mapping technique requires only a single bit-flip with a parametric gate. Over-parameterization is necessary to satisfy certain physical boundary conditions, and higher-order time-stepping reduces norm errors. Practical implications Variational quantum simulation can solve partial differential equations using near-term quantum devices. The proposed graphical mapping technique could potentially aid quantum simulations for certain applications. Originality/value This study shows a concrete application of variational quantum simulation methods in solving practically relevant partial differential equations. It also provides insight into the performance of different types of entangling layers and over-parameterization. The proposed graphical mapping technique could be valuable for quantum simulation implementations. The findings contribute to the growing body of research on using variational quantum simulations for solving partial differential equations.

Publisher

Emerald

Subject

Mechanical Engineering,Aerospace Engineering,Computational Mechanics,Engineering (miscellaneous)

Reference54 articles.

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3. Quantum algorithm for linear differential equations with exponentially improved dependence on precision;Communications in Mathematical Physics,2017

4. Noisy intermediate-scale quantum algorithms;Reviews of Modern Physics,2022

5. DLVO interaction between colloidal particles: beyond Derjaguin’s approximation;Croatica Chemica Acta,1998

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