量子计算与可视化:未来的颠覆性技术变革。

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
E Wes Bethel, Mercy G Amankwah, Jan Balewski, Roel Van Beeumen, Daan Camps, Daniel Huang, Talita Perciano, Theresa-Marie Rhyne
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引用次数: 0

摘要

这篇可视化观点文章的重点是提供量子计算(QC)的一些背景,探索可视化如何帮助理解QC的相关想法,并研究随着这两种技术在未来的发展和成熟,QC如何对可视化有用。在快速发展的技术环境中,QC正成为克服经典计算增长限制的一条有前途的途径。在某些情况下,QC平台通过更快地解决问题或在任何已知的经典平台上可能难以解决的问题,提供了大大优于熟悉的经典计算机的潜力。由于经典计算平台的进一步性能提升受到摩尔定律缩放的限制,QC平台可能被视为当前exascale类平台领域的潜在继任者。尽管目前的QC硬件平台的规模仍然有限,但量子计算领域在硬件能力、开发量子算法的软件环境以及培训下一代科学家和工程师的教育计划方面都是稳健且快速发展的。在简要介绍了QC的概念后,本文的重点是探讨可视化和QC领域之间的相互作用。首先,可视化在QC中发挥了作用,它提供了显示叠加态中单个量子位和纠缠态中多个量子位的量子态表示的方法。其次,尽管未来存在挑战,但视觉数据探索和分析领域可能会以多种方式从这项颠覆性的新技术中受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantum Computing and Visualization: A Disruptive Technological Change Ahead.

The focus of this Visualization Viewpoints article is to provide some background on quantum computing (QC), to explore ideas related to how visualization helps in understanding QC, and examine how QC might be useful for visualization with the growth and maturation of both technologies in the future. In a quickly evolving technology landscape, QC is emerging as a promising pathway to overcome the growth limits in classical computing. In some cases, QC platforms offer the potential to vastly outperform the familiar classical computer by solving problems more quickly or that may be intractable on any known classical platform. As further performance gains for classical computing platforms are limited by diminishing Moore's Law scaling, QC platforms might be viewed as a potential successor to the current field of exascale-class platforms. While present-day QC hardware platforms are still limited in scale, the field of quantum computing is robust and rapidly advancing in terms of hardware capabilities, software environments for developing quantum algorithms, and educational programs for training the next generation of scientists and engineers. After a brief introduction to QC concepts, the focus of this article is to explore the interplay between the fields of visualization and QC. First, visualization has played a role in QC by providing the means to show representations of the quantum state of single-qubits in superposition states and multiple-qubits in entangled states. Second, there are a number of ways in which the field of visual data exploration and analysis may potentially benefit from this disruptive new technology though there are challenges going forward.

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来源期刊
IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications 工程技术-计算机:软件工程
CiteScore
3.20
自引率
5.60%
发文量
160
审稿时长
>12 weeks
期刊介绍: IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics, visualization, virtual and augmented reality, and HCI. From specific algorithms to full system implementations, CG&A offers a unique combination of peer-reviewed feature articles and informal departments. Theme issues guest edited by leading researchers in their fields track the latest developments and trends in computer-generated graphical content, while tutorials and surveys provide a broad overview of interesting and timely topics. Regular departments further explore the core areas of graphics as well as extend into topics such as usability, education, history, and opinion. Each issue, the story of our cover focuses on creative applications of the technology by an artist or designer. Published six times a year, CG&A is indispensable reading for people working at the leading edge of computer-generated graphics technology and its applications in everything from business to the arts.
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