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

Fuente: arXiv
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Main Authors: Shinde, Tejas, Budinski, Ljubomir, Niemimäki, Ossi, Lahtinen, Valtteri, Liebelt, Helena, Li, Rui
Format: Preprint
Published: 2024
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author Shinde, Tejas
Budinski, Ljubomir
Niemimäki, Ossi
Lahtinen, Valtteri
Liebelt, Helena
Li, Rui
author_facet Shinde, Tejas
Budinski, Ljubomir
Niemimäki, Ossi
Lahtinen, Valtteri
Liebelt, Helena
Li, Rui
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2407_04311
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Utilizing classical programming principles in the Intel Quantum SDK: implementation of quantum lattice Boltzmann method
Shinde, Tejas
Budinski, Ljubomir
Niemimäki, Ossi
Lahtinen, Valtteri
Liebelt, Helena
Li, Rui
Quantum Physics
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.
title Utilizing classical programming principles in the Intel Quantum SDK: implementation of quantum lattice Boltzmann method
topic Quantum Physics
url https://arxiv.org/abs/2407.04311