Quantum computing: A taxonomy, systematic review and future directions

被引:156
|
作者
Gill, Sukhpal Singh [1 ]
Kumar, Adarsh [2 ]
Singh, Harvinder [3 ]
Singh, Manmeet [4 ,5 ]
Kaur, Kamalpreet [6 ]
Usman, Muhammad [7 ]
Buyya, Rajkumar [8 ]
机构
[1] Queen Mary Univ London, Sch Elect Engn & Comp Sci, London, England
[2] Univ Petr & Energy Studies, Sch Comp Sci, Dept System, Dehra Dun 248007, Uttarakhand, India
[3] Univ Petr & Energy Studies, Sch Comp Sci, Dept Virtualizat, Dehra Dun, Uttarakhand, India
[4] Univ Texas Austin, Jackson Sch Geosci, Austin, TX USA
[5] Indian Inst Trop Meteorol IITM, Ctr Climate Change Res, Pune, Maharashtra, India
[6] Seneca, Seneca Int Acad, Toronto, ON, Canada
[7] Univ Melbourne, Sch Comp & Informat Syst, Parkville, Vic, Australia
[8] Univ Melbourne, Sch Comp & Informat Syst, Cloud Comp & Distributed Syst CLOUDS Lab, Parkville, Vic, Australia
来源
SOFTWARE-PRACTICE & EXPERIENCE | 2022年 / 52卷 / 01期
关键词
conceptual model; future directions; methodical analysis; quantum computing; qubits; research challenges; taxonomy; KEY DISTRIBUTION; PROGRAMMING-LANGUAGES; PHYSICAL SYNTHESIS; ELECTRON-SPIN; CRYPTOGRAPHY; CHALLENGES; ALGORITHM; SILICON; QUBIT; SECURITY;
D O I
10.1002/spe.3039
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Quantum computing (QC) 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 QC will help to solve many complex and computationally intractable problems in several application domains such as drug design, data science, clean energy, finance, industrial chemical development, secure communications, and quantum chemistry. In recent years, tremendous progress in both quantum hardware development and quantum software/algorithm has brought QC much closer to reality. Indeed, the demonstration of quantum supremacy marks a significant milestone in the Noisy Intermediate Scale Quantum (NISQ) era-the next logical step being the quantum advantage whereby quantum computers solve a real-world problem much more efficiently than classical computing. 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. QC 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 QC will be invaluable to understand the state-of-the-art of this emerging field and identify open challenges for the QC community to address in the coming years. This article presents a comprehensive review of QC literature and proposes taxonomy of QC. 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 captures the current state-of-the-art in the respective areas. The article identifies and highlights various open challenges and promising future directions for research and innovation in QC.
引用
收藏
页码:66 / 114
页数:49
相关论文
共 50 条
  • [1] Cold Start Latency in Serverless Computing: A Systematic Review, Taxonomy, and Future Directions
    Golec, Muhammed
    Walia, Guneet kaur
    Kumar, Mohit
    Cuadrado, Felix
    Gill, Sukhpal singh
    Uhlig, Steve
    ACM COMPUTING SURVEYS, 2025, 57 (03)
  • [2] Systematic Review on Requirements Engineering in Quantum Computing: Insights and Future Directions
    Sepulveda, Samuel
    Cravero, Ania
    Fonseca, Guillermo
    Antonelli, Leandro
    ELECTRONICS, 2024, 13 (15)
  • [3] A systematic review on task scheduling in Fog computing: Taxonomy, tools, challenges, and future directions
    Kaur, Navjeet
    Kumar, Ashok
    Kumar, Rajesh
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2021, 33 (21):
  • [4] AI-based fog and edge computing: A systematic review, taxonomy and future directions
    Iftikhar, Sundas
    Gill, Sukhpal Singh
    Song, Chenghao
    Xu, Minxian
    Aslanpour, Mohammad Sadegh
    Toosi, Adel N.
    Du, Junhui
    Wu, Huaming
    Ghosh, Shreya
    Chowdhury, Deepraj
    Golec, Muhammed
    Kumar, Mohit
    Abdelmoniem, Ahmed M.
    Cuadrado, Felix
    Varghese, Blesson
    Rana, Omer
    Dustdar, Schahram
    Uhlig, Steve
    INTERNET OF THINGS, 2023, 21
  • [5] Edge AI: A Taxonomy, Systematic Review and Future Directions
    Gill, Sukhpal Singh
    Golec, Muhammed
    Hu, Jianmin
    Xu, Minxian
    Du, Junhui
    Wu, Huaming
    Walia, Guneet Kaur
    Murugesan, Subramaniam Subramanian
    Ali, Babar
    Kumar, Mohit
    Ye, Kejiang
    Verma, Prabal
    Kumar, Surendra
    Cuadrado, Felix
    Uhlig, Steve
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2025, 28 (01):
  • [6] Fault-tolerance approaches for distributed and cloud computing environments: A systematic review, taxonomy and future directions
    Kirti, Medha
    Maurya, Ashish Kumar
    Yadav, Rama Shankar
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2024, 36 (13):
  • [7] Memory orchestration mechanisms in serverless computing: a taxonomy, review and future directions
    Rad, Zahra Shojaee
    Ghobaei-Arani, Mostafa
    Ahsan, Reza
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2024, 27 (05): : 5489 - 5515
  • [8] Application Management in Fog Computing Environments: A Taxonomy, Review and Future Directions
    Mahmud, Redowan
    Ramamohanarao, Kotagiri
    Buyya, Rajkumar
    ACM COMPUTING SURVEYS, 2020, 53 (04)
  • [9] Digital Nudging: A Systematic Literature Review, Taxonomy, and Future Research Directions
    Valta, Maximilian
    Maier, Christian
    DATA BASE FOR ADVANCES IN INFORMATION SYSTEMS, 2025, 56 (01): : 101 - 125
  • [10] Application partitioning algorithms in mobile cloud computing: Taxonomy, review and future directions
    Liu, Jieyao
    Ahmed, Ejaz
    Shiraz, Muhammad
    Gani, Abdullah
    Buyya, Rajkumar
    Qureshi, Ahsan
    JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2015, 48 : 99 - 117