Utilizing classical programming principles in the Intel Quantum SDK: implementation of quantum lattice Boltzmann method

TL;DR

This paper demonstrates how classical programming principles can be effectively integrated into the implementation of the quantum lattice Boltzmann method within the Intel Quantum SDK, enhancing algorithm control and modularity.

Contribution

It introduces a novel approach of applying classical programming techniques to quantum algorithm implementation, specifically for the quantum lattice Boltzmann method, facilitating better control and potential hardware deployment.

Findings

Classical principles like modularization improve quantum algorithm implementation.

The approach enhances control over problem variables in quantum circuits.

Implementation can be adapted from simulation to hardware with minimal changes.

Abstract

We explore the use of classical programming techniques in implementing the quantum lattice Boltzmann method in the Intel Quantum SDK -- a software tool for quantum circuit creation and execution on Intel quantum hardware. As hardware access is limited, we use the state vector simulator provided by the SDK. The novelty of this work lies in leveraging classical techniques for the implementation of quantum algorithms. We emphasize the refinement of algorithm implementation and devise strategies to enhance quantum circuits for better control over problem variables. To this end, we adopt classical principles such as modularization, which allows for systematic and controlled execution of complex algorithms. Furthermore, we discuss how the same implementation could be expanded from state vector simulations to execution on quantum hardware with minor adjustments in these configurations.