Abdulrahman Kariri, Mohammed Aljamal, Jinan Al Aridhee, Ismaiel Albukhari, Nadine Matondo-Mvula, K. Elleithy
{"title":"用激活函数增强CNNHQ","authors":"Abdulrahman Kariri, Mohammed Aljamal, Jinan Al Aridhee, Ismaiel Albukhari, Nadine Matondo-Mvula, K. Elleithy","doi":"10.1109/LISAT58403.2023.10179557","DOIUrl":null,"url":null,"abstract":"In this paper, we present an overview of quantum neural network (QNN) and quantum computing benefits in the Artificial Intelligence field with methods used to enhance the application of machine learning. The approach uses quantum computers to enhance Convolutional Neural Network (CNN) with Hybrid QNNs using IBM Qiskit called the Convolutional Neural Network Hybrid Qiskit (CNNHQ). This paper will compare and focus on using the quantum concepts of computation to develop and optimize the network process entirely depending on Activation functions used in the neural network approach.","PeriodicalId":250536,"journal":{"name":"2023 IEEE Long Island Systems, Applications and Technology Conference (LISAT)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancement of CNNHQ with an Activation Function\",\"authors\":\"Abdulrahman Kariri, Mohammed Aljamal, Jinan Al Aridhee, Ismaiel Albukhari, Nadine Matondo-Mvula, K. Elleithy\",\"doi\":\"10.1109/LISAT58403.2023.10179557\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present an overview of quantum neural network (QNN) and quantum computing benefits in the Artificial Intelligence field with methods used to enhance the application of machine learning. The approach uses quantum computers to enhance Convolutional Neural Network (CNN) with Hybrid QNNs using IBM Qiskit called the Convolutional Neural Network Hybrid Qiskit (CNNHQ). This paper will compare and focus on using the quantum concepts of computation to develop and optimize the network process entirely depending on Activation functions used in the neural network approach.\",\"PeriodicalId\":250536,\"journal\":{\"name\":\"2023 IEEE Long Island Systems, Applications and Technology Conference (LISAT)\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE Long Island Systems, Applications and Technology Conference (LISAT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LISAT58403.2023.10179557\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Long Island Systems, Applications and Technology Conference (LISAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LISAT58403.2023.10179557","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we present an overview of quantum neural network (QNN) and quantum computing benefits in the Artificial Intelligence field with methods used to enhance the application of machine learning. The approach uses quantum computers to enhance Convolutional Neural Network (CNN) with Hybrid QNNs using IBM Qiskit called the Convolutional Neural Network Hybrid Qiskit (CNNHQ). This paper will compare and focus on using the quantum concepts of computation to develop and optimize the network process entirely depending on Activation functions used in the neural network approach.