Quantum Programming Paradigms and Description Languages

IF 1.8 4区计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computing in Science & Engineering Pub Date : 2024-06-20 DOI:10.1109/mcse.2024.3375432

Sonia Lopez Alarcón, Elaine Wong, Travis S. Humble, Eugene Dumitrescu

引用次数: 0

Abstract

This article offers perspective on quantum computing programming languages, as well as their emerging runtimes and algorithmic modalities. With the scientific high-performance computing (HPC) community as a target audience, we describe the current state of the art in the field, and outline programming paradigms for scientific workflows. One take-home message is that there is significant work required to first refine the notion of the quantum processing unit in order to integrate in the HPC environments. Programming for today’s quantum computers is making significant strides toward modern HPC-compatible workflows, but key challenges still face the field.

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量子编程范式和描述语言

本文从量子计算编程语言及其新兴运行时和算法模式的角度进行了阐述。我们以科学高性能计算（HPC）社区为目标读者，描述了该领域的技术现状，并概述了科学工作流的编程范式。我们得出的一个结论是，要整合到高性能计算环境中，首先需要完善量子处理单元的概念。当今的量子计算机编程正朝着与现代高性能计算兼容的工作流程迈出重大步伐，但这一领域仍面临关键挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computing in Science & Engineering 工程技术-计算机：跨学科应用

CiteScore

4.20

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Physics, medicine, astronomy -- these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering presents scientific and computational contributions in a clear and accessible format. The computational and data-centric problems faced by scientists and engineers transcend disciplines. There is a need to share knowledge of algorithms, software, and architectures, and to transmit lessons-learned to a broad scientific audience. CiSE is a cross-disciplinary, international publication that meets this need by presenting contributions of high interest and educational value from a variety of fields, including—but not limited to—physics, biology, chemistry, and astronomy. CiSE emphasizes innovative applications in advanced computing, simulation, and analytics, among other cutting-edge techniques. CiSE publishes peer-reviewed research articles, and also runs departments spanning news and analyses, topical reviews, tutorials, case studies, and more.