Network Anomaly Detection Using Quantum Neural Networks on Noisy Quantum Computers
The escalating threat and impact of network-based attacks necessitate innovative intrusion detection systems. Machine learning has shown promise, with recent strides in quantum machine learning offering new avenues. However, the potential of quantum computing is tempered by challenges in current noi...
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Main Authors: | Alon Kukliansky, Marko Orescanin, Chad Bollmann, Theodore Huffmire |
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Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
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Series: | IEEE Transactions on Quantum Engineering |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10415536/ |
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