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Quantum Computing: A Taxonomy, Systematic Review and Future Directions
arXiv - CS - Emerging Technologies Pub Date : 2020-09-28 , DOI: arxiv-2010.15559 Sukhpal Singh Gill, Adarsh Kumar, Harvinder Singh, Manmeet Singh, Kamalpreet Kaur, Muhammad Usman, Rajkumar Buyya
arXiv - CS - Emerging Technologies Pub Date : 2020-09-28 , DOI: arxiv-2010.15559 Sukhpal Singh Gill, Adarsh Kumar, Harvinder Singh, Manmeet Singh, Kamalpreet Kaur, Muhammad Usman, Rajkumar Buyya
Quantum computing is an emerging paradigm with the potential to offer
significant computational advantage over conventional classical computing by
exploiting quantum-mechanical principles such as entanglement and
superposition. It is anticipated that this computational advantage of quantum
computing will help to solve many complex and computationally intractable
problems in several areas of research such as drug design, data science, clean
energy, finance, industrial chemical development, secure communications, and
quantum chemistry, among others. In recent years, tremendous progress in both
quantum hardware development and quantum software/algorithm have brought
quantum computing much closer to reality. As the quantum devices are expected
to steadily scale up in the next few years, quantum decoherence and qubit
interconnectivity are two of the major challenges to achieve quantum advantage
in the NISQ era. Quantum computing is a highly topical and fast-moving field of
research with significant ongoing progress in all facets. A systematic review
of the existing literature on quantum computing will be invaluable to
understand the current status of this emerging field and identify open
challenges for the quantum computing community in the coming years. This review
article presents a comprehensive review of quantum computing literature, and
taxonomy of quantum computing. Further, the proposed taxonomy is used to map
various related studies to identify the research gaps. A detailed overview of
quantum software tools and technologies, post-quantum cryptography and quantum
computer hardware development to document the current state-of-the-art in the
respective areas. We finish the article by highlighting various open challenges
and promising future directions for research.
中文翻译:
量子计算:分类、系统回顾和未来方向
量子计算是一种新兴范式,通过利用纠缠和叠加等量子力学原理,有可能提供比传统经典计算更显着的计算优势。预计量子计算的这种计算优势将有助于解决多个研究领域中的许多复杂且计算上难以处理的问题,例如药物设计、数据科学、清洁能源、金融、工业化学品开发、安全通信和量子化学等。其他。近年来,量子硬件开发和量子软件/算法的巨大进步使量子计算更接近现实。随着量子设备有望在未来几年稳步扩大,量子退相干和量子位互连是 NISQ 时代实现量子优势的两大挑战。量子计算是一个高度热门且快速发展的研究领域,在各个方面都取得了重大进展。对现有量子计算文献的系统回顾对于了解这一新兴领域的现状并确定未来几年量子计算社区面临的开放挑战将是非常宝贵的。这篇评论文章全面回顾了量子计算文献和量子计算分类。此外,提议的分类法用于绘制各种相关研究,以确定研究差距。量子软件工具和技术的详细概述,后量子密码学和量子计算机硬件开发,以记录各自领域的当前技术水平。我们通过强调各种开放性挑战和有希望的未来研究方向来结束这篇文章。
更新日期:2020-10-30
中文翻译:
量子计算:分类、系统回顾和未来方向
量子计算是一种新兴范式,通过利用纠缠和叠加等量子力学原理,有可能提供比传统经典计算更显着的计算优势。预计量子计算的这种计算优势将有助于解决多个研究领域中的许多复杂且计算上难以处理的问题,例如药物设计、数据科学、清洁能源、金融、工业化学品开发、安全通信和量子化学等。其他。近年来,量子硬件开发和量子软件/算法的巨大进步使量子计算更接近现实。随着量子设备有望在未来几年稳步扩大,量子退相干和量子位互连是 NISQ 时代实现量子优势的两大挑战。量子计算是一个高度热门且快速发展的研究领域,在各个方面都取得了重大进展。对现有量子计算文献的系统回顾对于了解这一新兴领域的现状并确定未来几年量子计算社区面临的开放挑战将是非常宝贵的。这篇评论文章全面回顾了量子计算文献和量子计算分类。此外,提议的分类法用于绘制各种相关研究,以确定研究差距。量子软件工具和技术的详细概述,后量子密码学和量子计算机硬件开发,以记录各自领域的当前技术水平。我们通过强调各种开放性挑战和有希望的未来研究方向来结束这篇文章。