Learning-based Optimal Quantum Switch Scheduling

被引:0
|
作者
Huang J. [1 ]
Huang L. [1 ]
机构
[1] Tsinghua University, China
来源
Performance Evaluation Review | 2023年 / 51卷 / 02期
关键词
Adversarial learning - Dynamic demand - Learning-based algorithms - Optimal scheduling - Prior-knowledge - Quantum switch - Queue analysis - Switch scheduling - System statistics;
D O I
10.1145/3626570.3626597
中图分类号
学科分类号
摘要
In this paper, we consider the problem of optimal scheduling for quantum switches with dynamic demand and random entanglement successes. Different from prior results that often focus on (known) fixed entanglement success probabilities, we assume zero prior knowledge about the entanglement success probabilities and allow them to vary from time to time in an adversarial manner. We propose a learning-based algorithm QSSoftMW based on the framework developed in [1], which combines adversarial learning and Lyapunov queue analysis. We show that QSSoftMW is able to automatically adapt to the changing system statistics and ensure quantum switch stability. © 2023 Copyright is held by the owner/author(s).
引用
收藏
页码:75 / 77
页数:2
相关论文
共 50 条
  • [31] Quarl: A Learning-Based Quantum Circuit Optimizer
    Li, Zikun
    Peng, Jinjun
    Mei, Yixuan
    Lin, Sina
    Wu, Yi
    Padon, Oded
    Jia, Zhihao
    PROCEEDINGS OF THE ACM ON PROGRAMMING LANGUAGES-PACMPL, 2024, 8 (OOPSLA):
  • [32] Learning-based Protocol for Routing in Quantum Networks
    Agustin, Silva
    Gustavo Zabaleta, Omar
    Miguel Arizmendi, Constancio
    IFAC PAPERSONLINE, 2022, 55 (40): : 211 - 216
  • [33] Deep reinforcement learning-based full-duplex link scheduling in federated learning-based computing for IoMT
    Guan, Zheng
    Li, Ya
    Yu, Shengqian
    Yang, Zhijun
    TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2023, 34 (03)
  • [34] Reinforcement learning-based approach for optimizing solvent-switch
    Elmaz, Furkan
    Di Caprio, Ulderico
    Wu, Min
    Wouters, Yentl
    Van Der Vorst, Geert
    Vandervoort, Niels
    Anwar, Ali
    Leblebici, M. Enis
    Hellinckx, Peter
    Mercelis, Siegfried
    COMPUTERS & CHEMICAL ENGINEERING, 2023, 176
  • [35] Optimal Control Based on a General Exponential Scheduling Rule for a Generalized Switch
    Dai, Wanyang
    Wang, Shi
    2009 WRI INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND MOBILE COMPUTING: CMC 2009, VOL 2, 2009, : 332 - 336
  • [36] Quantum Switch Scheduling for Information Qubits
    Promponas P.
    Valls V.
    Tassiulas L.
    Performance Evaluation Review, 2023, 51 (02): : 78 - 80
  • [37] Reinforcement learning-based architecture search for quantum machine learning
    Rapp, Frederic
    Kreplin, David A.
    Huber, Marco F.
    Roth, Marco
    MACHINE LEARNING-SCIENCE AND TECHNOLOGY, 2025, 6 (01):
  • [38] Reinforcement Learning-based Hierarchical Seed Scheduling for Greybox Fuzzing
    Wang, Jinghan
    Song, Chengyu
    Yin, Heng
    28TH ANNUAL NETWORK AND DISTRIBUTED SYSTEM SECURITY SYMPOSIUM (NDSS 2021), 2021,
  • [39] Deep Reinforcement Learning-Based Workload Scheduling for Edge Computing
    Zheng, Tao
    Wan, Jian
    Zhang, Jilin
    Jiang, Congfeng
    JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS, 2022, 11 (01):
  • [40] Deep Reinforcement Learning-Based Workload Scheduling for Edge Computing
    Tao Zheng
    Jian Wan
    Jilin Zhang
    Congfeng Jiang
    Journal of Cloud Computing, 11