DRLQ: A Deep Reinforcement Learning-based Task Placement for Quantum Cloud Computing-Reference-Cited by-同舟云学术

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

Published:2024-07-07 Issue: Volume:80 Page:475-481
ISSN:
Container-title:2024 IEEE 17th International Conference on Cloud Computing (CLOUD)
language:
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Author:

Nguyen Hoa T.¹,Usman Muhammad²,Buyya Rajkumar¹

Affiliation:

1. School of Computing and Information Systems, The University of Melbourne,Cloud Computing and Distributed Systems (CLOUDS) Laboratory,Parkville,Victoria,Australia,3052

2. School of Physics, The University of Melbourne,Parkville,Victoria,Australia,3052

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10643868/10643887/10643952.pdf?arnumber=10643952

Reference35 articles.

1. Advances in quantum cryptography

2. Quantum Computing for Finance: State-of-the-Art and Future Prospects

3. Towards quantum enhanced adversarial robustness in machine learning

4. Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets

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