HyQ2: A Hybrid Quantum Neural Network for NextG Vulnerability Detection
As fifth-generation (5G) and next-generation communication systems advance and find widespread application in critical infrastructures, the importance of vulnerability detection becomes increasingly critical. The growing complexity of these systems necessitates rigorous testing and analysis, with st...
Saved in:
Main Authors: | Yifeng Peng, Xinyi Li, Zhiding Liang, Ying Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Transactions on Quantum Engineering |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10716796/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Quantum size effects and tailoring the electron energy levels in semiconductors: comparison study on Al x Ga 1-x As and Ga x In 1-x As quantum wires
by: M. K. Abu-Assy, et al.
Published: (2025-02-01) -
SPARQ: Efficient Entanglement Distribution and Routing in Space–Air–Ground Quantum Networks
by: Mohamed Shaban, et al.
Published: (2024-01-01) -
MORTGAGE ACT 2009/
Published: (2009) -
Solving Nonnative Combinatorial Optimization Problems Using Hybrid Quantum–Classical Algorithms
by: Jonathan Wurtz, et al.
Published: (2024-01-01) -
Learning a Quantum Computer's Capability
by: Daniel Hothem, et al.
Published: (2024-01-01)