Analysis of Quantum Machine Learning Algorithms in Noisy Channels for Classification Tasks in the IoT Extreme Environment-Reference-Cited by-同舟云学术

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Analysis of Quantum Machine Learning Algorithms in Noisy Channels for Classification Tasks in the IoT Extreme Environment

Published:2024-02-01 Issue:3 Volume:11 Page:3840-3852
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Satpathy Sritam Kumar¹,Vibhu Vallabh¹,Behera Bikash K.²^ORCID,Al-Kuwari Saif³^ORCID,Mumtaz Shahid⁴^ORCID,Farouk Ahmed⁵^ORCID

Affiliation:

1. Department of Physical Sciences, Indian Institute of Science Education and Research, Berhampur, India

2. Quantum Computing, Bikash’s Quantum Private Ltd., Mohanpur, India

3. College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar

4. Department of Applied Informatics, Silesian University of Technology, Gliwice, Poland

5. Department of Computer Science, Faculty of Computers and Artificial Intelligence, South Valley University, Hurghada, Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10413935/10198241.pdf?arnumber=10198241

Reference44 articles.

1. Quantum Computation and Quantum Information

2. Quantum computational supremacy

3. Defining and detecting quantum speedup

4. Characterizing quantum supremacy in near-term devices

5. Algorithms for quantum computation: discrete logarithms and factoring

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Superdense Coding Using Bragg Diffracted Hyperentangled Atoms;IEEE Journal on Selected Areas in Communications;2024-07

2. A physical layer security scheme for 6G wireless networks using post-quantum cryptography;Computer Communications;2024-03

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