Quantum Computing: Circuits, Algorithms, and Applications

被引:4
|
作者
Shafique, Muhammad Ali [1 ]
Munir, Arslan [2 ]
Latif, Imran [3 ]
机构
[1] Kansas State Univ, Dept Elect & Comp Engn, Manhattan, KS 66506 USA
[2] Kansas State Univ, Dept Comp Sci, Manhattan, KS 66506 USA
[3] Brookhaven Natl Lab, US Dept Energy, Upton, NY 11973 USA
关键词
Quantum computing; entanglement; interference; quantum circuits; quantum algorithms; quantum applications; COMPUTATIONAL ADVANTAGE; DISCRETE LOGARITHMS; DECOHERENCE;
D O I
10.1109/ACCESS.2024.3362955
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Quantum computing, a transformative field that emerged from quantum mechanics and computer science, has gained immense attention for its potential to revolutionize computation. This paper aims to address the fundamentals of quantum computing and provide a comprehensive guide for both novices and experts in the field of quantum computing. Beginning with the foundational principles of quantum computing, we introduce readers to the fundamental concepts of qubits, superposition, entanglement, interference, and noise. We explore quantum hardware, quantum gates, and basic quantum circuits. This study offers insight into the current phase of quantum computing, including the noisy intermediate-scale quantum (NISQ) era and its potential for solving real-world problems. Furthermore, we discuss the development of quantum algorithms and their applications, with a focus on famous algorithms like Shor's algorithm and Grover's algorithm. We also touch upon quantum computing's impact on various industries, such as cryptography, optimization, machine learning, and material science. By the end of this paper, readers will have a solid understanding of quantum computing's principles, applications, and the steps involved in developing quantum circuits. Our goal is to provide a valuable resource for those eager to embark on their quantum computing journey and for researchers looking to stay updated on this rapidly evolving field.
引用
收藏
页码:22296 / 22314
页数:19
相关论文
共 50 条
  • [21] Simulating adiabatic quantum computing with parameterized quantum circuits
    Kolotouros, Ioannis
    Petrongonas, Ioannis
    Prokop, Milos
    Wallden, Petros
    QUANTUM SCIENCE AND TECHNOLOGY, 2025, 10 (01):
  • [22] Realising and compressing quantum circuits with quantum reservoir computing
    Sanjib Ghosh
    Tanjung Krisnanda
    Tomasz Paterek
    Timothy C. H. Liew
    Communications Physics, 4
  • [23] Realising and compressing quantum circuits with quantum reservoir computing
    Ghosh, Sanjib
    Krisnanda, Tanjung
    Paterek, Tomasz
    Liew, Timothy C. H.
    COMMUNICATIONS PHYSICS, 2021, 4 (01)
  • [24] From quantum circuits to adiabatic algorithms
    Siu, MS
    PHYSICAL REVIEW A, 2005, 71 (06):
  • [25] Approximate Computing: From Circuits to Applications
    Liu, Weiqiang
    Lombardi, Fabrizio
    Schulte, Michael
    PROCEEDINGS OF THE IEEE, 2020, 108 (12) : 2103 - 2107
  • [26] CORRELATION ALGORITHMS, CIRCUITS AND MEASUREMENT APPLICATIONS
    MCLERNON, DC
    IEE PROCEEDINGS-G CIRCUITS DEVICES AND SYSTEMS, 1986, 133 (05): : 255 - 255
  • [27] CORRELATION ALGORITHMS, CIRCUITS AND MEASUREMENT APPLICATIONS
    JORDAN, JR
    IEE PROCEEDINGS-G CIRCUITS DEVICES AND SYSTEMS, 1986, 133 (01): : 58 - 74
  • [28] Quantum computing2. Algorithms
    C. S. Vijay
    Vishal Gupta
    Resonance, 2000, 5 (10) : 66 - 72
  • [29] Review on Quantum Computing Tools and Algorithms
    Madhu, M. P.
    Dixit, Sunanda
    SECOND INTERNATIONAL CONFERENCE ON COMPUTER NETWORKS AND COMMUNICATION TECHNOLOGIES, ICCNCT 2019, 2020, 44 : 714 - 719
  • [30] Symbolic calculus for class of quantum computing circuits
    Hadjam, F. Z.
    Moraga, C.
    ELECTRONICS LETTERS, 2015, 51 (09) : 682 - 683