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Information and Software Technology

Unraveling quantum computing system architectures: An extensive survey of cutting-edge paradigms

Xudong Zhao, Xiaolong Xu, Lianyong Qi, Xiaoyu Xia, Muhammad Bilal, Wenwen Gong, Huaizhen Kou

Published Dec 5, 2023• 29 citations
Publisher
DOI
10.1016/j.infsof.2023.107380

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Quantum computing is at the cutting edge of technological innovation, with the potential to transform a wide array of scientific and practical fields. This literature survey addresses the critical need for a structured understanding of recent advancements and identifies research gaps. It comprehensively reviews recent advancements in quantum computing, emphasizing non-standard architectures, applications in material sciences, and the integration of quantum and classical machine learning models. The survey also examines quantum algorithms for real-time systems, explores cryptographic protocols beyond Shor's algorithm, and discusses resource management in cloud computing. Key findings highlight significant progress in algorithm efficiency, practical applications in 2D materials and topological insulators, and the hybridization of quantum and classical models. Challenges such as scalability, resource optimization, and ethical concerns still remain. This paper guides future research to focus on optimizing algorithms, efficient resource allocation, and enhancing security measures. This work synthesizes current knowledge, guiding future research efforts and contributing to the advancement of the quantum computing research community.
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Quantum computing represents a groundbreaking technological advancement that can tackle problems beyond traditional computers’ reach. This innovative approach leverages quantum mechanical principles to execute computations in ways that surpass the capabilities of conventional computing systems. In theory, certain computation tasks can be completed exponentially quicker on quantum machines compared to their classical counterparts. This article provides a comprehensive examination of the rapidly advancing quantum computing approaches, encompassing recent developments in quantum hardware, programming languages, algorithmic methods, error mitigation techniques, and practical applications across various fields, including cryptography, sensing, and simulation. The study examines how quantum computers may potentially drive breakthroughs in various fields, including medicine, materials science, and artificial intelligence. Additionally, it addresses the obstacles that must be overcome to fully realise the transformative potential of this cutting-edge computing paradigm.