Artificial Intelligence Computing at the Quantum Level

被引:11
|
作者
Ayoade, Olawale [1 ]
Rivas, Pablo [2 ]
Orduz, Javier [2 ]
机构
[1] Baylor Univ, Dept Phys, One Bear Pl 97316, Waco, TX 76706 USA
[2] Baylor Univ, Dept Comp Sci, One Bear Pl 97141, Waco, TX 76712 USA
基金
美国国家科学基金会;
关键词
quantum computing; quantum artificial intelligence; quantum information; CRYPTOGRAPHY; STATE; GATE;
D O I
10.3390/data7030028
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The extraordinary advance in quantum computation leads us to believe that, in the not-too-distant future, quantum systems will surpass classical systems. Moreover, the field's rapid growth has resulted in the development of many critical tools, including programmable machines (quantum computers) that execute quantum algorithms and the burgeoning field of quantum machine learning, which investigates the possibility of faster computation than traditional machine learning. In this paper, we provide a thorough examination of quantum computing from the perspective of a physicist. The purpose is to give laypeople and scientists a broad but in-depth understanding of the area. We also recommend charts that summarize the field's diversions to put the whole field into context.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Quantum computing and quantum artificial intelligence for renewable and sustainable energy: A emerging prospect towards climate neutrality
    Ajagekar, Akshay
    You, Fengqi
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2022, 165
  • [22] Photonics for artificial intelligence and neuromorphic computing
    Shastri, Bhavin J.
    Tait, Alexander N.
    de Lima, T. Ferreira
    Pernice, Wolfram H. P.
    Bhaskaran, Harish
    Wright, C. D.
    Prucnal, Paul R.
    NATURE PHOTONICS, 2021, 15 (02) : 102 - 114
  • [23] Photonics for artificial intelligence and neuromorphic computing
    Bhavin J. Shastri
    Alexander N. Tait
    T. Ferreira de Lima
    Wolfram H. P. Pernice
    Harish Bhaskaran
    C. D. Wright
    Paul R. Prucnal
    Nature Photonics, 2021, 15 : 102 - 114
  • [24] Integrated Photonics for Computing and Artificial Intelligence
    Feng, Chenghao
    Ning, Shupeng
    Gu, Jiaqi
    Zhu, Hanqing
    Pan, David Z.
    Chen, Ray T.
    2023 IEEE PHOTONICS SOCIETY SUMMER TOPICALS MEETING SERIES, SUM, 2023,
  • [25] Analog Optical Computing for Artificial Intelligence
    Jiamin Wu
    Xing Lin
    Yuchen Guo
    Junwei Liu
    Lu Fang
    Shuming Jiao
    Qionghai Dai
    Engineering, 2022, 10 (03) : 133 - 145
  • [26] Analog Optical Computing for Artificial Intelligence
    Wu, Jiamin
    Lin, Xing
    Guo, Yuchen
    Liu, Junwei
    Fang, Lu
    Jiao, Shuming
    Dai, Qionghai
    ENGINEERING, 2022, 10 : 133 - 145
  • [27] Computing and artificial intelligence in digital therapeutics
    Hu, Pengwei
    Hu, Lun
    Wang, Fei
    Mei, Jing
    FRONTIERS IN MEDICINE, 2024, 10
  • [28] Analog Optical Computing for Artificial Intelligence
    Jiamin Wu
    Xing Lin
    Yuchen Guo
    Junwei Liu
    Lu Fang
    Shuming Jiao
    Qionghai Dai
    Engineering, 2022, (03) : 133 - 145
  • [29] Accelerating artificial intelligence with reconfigurable computing
    Cieszewski, Radoslaw
    PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2012, 2012, 8454
  • [30] Artificial intelligence and quantum cryptography
    Radanliev, Petar
    JOURNAL OF ANALYTICAL SCIENCE AND TECHNOLOGY, 2024, 15 (01)