Enhancement of CNN HQ vvith an Activation Function
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Authors
Kariri, Abdulrahman
Albukhari, Ismaiel
Aljamal, Mohammed
Al Aridhee, Jinan
Matondo-Mvula, Nadine
Issue Date
2023-03-24
Type
Other
Language
Keywords
Neural Network , Quantum Circuit , Hybrid Qiskit
Alternative Title
Abstract
The poster represents an optimization of the entire Neural Network (NN) process depending on the activation functions used in the CNNHQ approach. The approach is to utilize the existing quantum computers to enhance the Convolutional Neural Network (CNN) with Hybrid Qiskit (HQ). Combining a quantum net (QNN) with a classical one (CNN) is one techinque used in Quantum Computing and Artificial Intelligence.
Description
Advisor: Prof. Khaled Elleithy
UB RISE 2023, School of Engineering, College of Enegineering, Business, and Education, University of Bridgeport.