Leong, F. Y., Koh, D. E., Ewe, W.-B., & Kong, J. F. (2023). Variational quantum simulation of partial differential equations: applications in colloidal transport. International Journal of Numerical Methods for Heat & Fluid Flow, 33(11), 3669–3690. https://doi.org/10.1108/hff-05-2023-0265
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.
License type:
Attribution 4.0 International (CC BY 4.0)
Funding Info:
This research / project is supported by the Agency for Science, Technology and Research - Central Research Fund
Grant Reference no. : NA
This research / project is supported by the Agency for Science, Technology and Research - Quantum Engineering Programme
Grant Reference no. : NRF2021-QEP2-02-P03
This research / project is supported by the A*STAR - Industry Alignment Fund – Pre-Positioning
Grant Reference no. : A20G1a0046