Artificial intelligence and machine learning for quantum technologies

被引：0
|
作者：
Krenn, Mario [1 ]
Landgraf, Jonas [1 ,2 ]
Foesel, Thomas [1 ,2 ]
Marquardt, Florian [1 ,2 ]
机构：
[1] Max Planck Institute for the Science of Light, Erlangen,91058, Germany
[2] Department of Physics, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen,91054, Germany
来源：
Physical Review A | 2023年 / 107卷 / 01期
关键词：
All Open Access; Hybrid Gold; Green;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Quantum communication
引用
收藏
相关论文
共 50 条
  • [21] Headway in Quantum domain for Machine learning towards improved Artificial Intelligence
    Mohanty, Jaganath Prasad
    Swain, Ayaskanta
    Mahapatra, Kamalakanta
    [J]. 2019 IEEE INTERNATIONAL SYMPOSIUM ON SMART ELECTRONIC SYSTEMS (ISES 2019), 2019, : 145 - 149
  • [22] Artificial Intelligence, Machine Learning and Deep Learning
    Ongsulee, Pariwat
    [J]. 2017 15TH INTERNATIONAL CONFERENCE ON ICT AND KNOWLEDGE ENGINEERING (ICT&KE), 2017, : 92 - 97
  • [23] The Role of implementing Artificial Intelligence and Machine Learning Technologies in the financial services Industry for creating Competitive Intelligence
    Mahalakshmi, V
    Kulkarni, Nirzar
    Kumar, K. V. Pradeep
    Kumar, K. Suresh
    Sree, D. Nidhi
    Durga, S.
    [J]. MATERIALS TODAY-PROCEEDINGS, 2022, 56 : 2252 - 2255
  • [24] Artificial Intelligence and Machine Learning in Anesthesiology
    Connor, Christopher W.
    [J]. ANESTHESIOLOGY, 2019, 131 (06) : 1346 - 1359
  • [25] Artificial intelligence and machine learning in rheumatology
    Dubey, Shirish
    Chan, Antoni
    Adebajo, Adewale O.
    Walker, David
    Bukhari, Marwan
    [J]. RHEUMATOLOGY, 2024, 63 (08)
  • [26] Artificial intelligence and machine learning in orthodontics
    Yamashiro, Takashi
    Ko, Ching-Chang
    [J]. ORTHODONTICS & CRANIOFACIAL RESEARCH, 2021, 24 : 3 - 5
  • [27] Probabilistic machine learning and artificial intelligence
    Zoubin Ghahramani
    [J]. Nature, 2015, 521 : 452 - 459
  • [28] Explainable Artificial Intelligence and Machine Learning
    Raunak, M. S.
    Kuhn, Rick
    [J]. COMPUTER, 2021, 54 (10) : 25 - 27
  • [29] Artificial intelligence applications and machine learning
    Agrawal, Prateek
    [J]. Recent Advances in Computer Science and Communications, 2020, 13 (06): : 1113 - 1114
  • [30] Artificial intelligence and machine learning in nephropathology
    Becker, Jan U.
    Mayerich, David
    Padmanabhan, Meghana
    Barratt, Jonathan
    Ernst, Angela
    Boor, Peter
    Cicalese, Pietro A.
    Mohan, Chandra
    Nguyen, Hien V.
    Roysam, Badrinath
    [J]. KIDNEY INTERNATIONAL, 2020, 98 (01) : 65 - 75
12345