Hybrid Quantum Convolutional Neural Networks for UWB Signal Classification

Hybrid Quantum Convolutional Neural Networks for UWB Signal Classification

With the increasing requirements for location-based services for Internet of things (IoT) applications, ultrawideband (UWB) technology provides accurate indoor positioning capabilities. However, indoor environments contain various obstacles leading to significant signal propagation effects. This res...

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Bibliographic Details
Main Authors: Seon-Geun Jeong, Quang-Vinh Do, Hae-Ji Hwang, Mikio Hasegawa, Hiroo Sekiya, Won-Joo Hwang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Hybrid quantum convolutional neural network
quantum convolutional neural network
signal classification
ultrawideband
variational quantum circuit
Online Access:https://ieeexplore.ieee.org/document/10274707/

Internet

https://ieeexplore.ieee.org/document/10274707/

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