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DRLQ: A Deep Reinforcement Learning-based Task Placement for Quantum
  Cloud Computing

DRLQ: A Deep Reinforcement Learning-based Task Placement for Quantum Cloud Computing

3 July 2024
H. T. Nguyen
Muhammad Usman
Rajkumar Buyya
ArXivPDFHTML

Papers citing "DRLQ: A Deep Reinforcement Learning-based Task Placement for Quantum Cloud Computing"

4 / 4 papers shown
Title
Quantum Cloud Computing: A Review, Open Problems, and Future Directions
Quantum Cloud Computing: A Review, Open Problems, and Future Directions
H. T. Nguyen
P. Krishnan
Dilip Krishnaswamy
Muhammad Usman
Rajkumar Buyya
38
15
0
17 Apr 2024
Stochastic Qubit Resource Allocation for Quantum Cloud Computing
Stochastic Qubit Resource Allocation for Quantum Cloud Computing
R. Kaewpuang
Minrui Xu
Dusit Niyato
Han Yu
Zehui Xiong
Jiawen Kang
36
8
0
22 Oct 2022
Optimal Stochastic Resource Allocation for Distributed Quantum Computing
Optimal Stochastic Resource Allocation for Distributed Quantum Computing
Napat Ngoenriang
Minrui Xu
Sucha Supittayapornpong
Dusit Niyato
Han Yu
Xuemin
X. Shen
13
9
0
16 Sep 2022
A Distributed Deep Reinforcement Learning Technique for Application
  Placement in Edge and Fog Computing Environments
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments
M. Goudarzi
M. Palaniswami
Rajkumar Buyya
OffRL
35
85
0
24 Oct 2021
1