An Efficient Binary Harris Hawks Optimization based on Quantum SVM for Cancer Classification Tasks

no code implementations • 24 Feb 2022 • Essam H. Houssein, Zainab Abohashima, Mohamed Elhoseny, Waleed M. Mohamed

This work introduces a new hybrid quantum kernel support vector machine (QKSVM) combined with a Binary Harris hawk optimization (BHHO) based gene selection for cancer classification on a quantum simulator.

feature selection

Hybrid quantum convolutional neural networks model for COVID-19 prediction using chest X-Ray images

1 code implementation • 8 Feb 2021 • Essam H. Houssein, Zainab Abohashima, Mohamed Elhoseny, Waleed M. Mohamed

The proposed HQCNN model achieved higher performance with an accuracy of 98. 4\% and a sensitivity of 99. 3\% on the first dataset cases.

Classification with Quantum Machine Learning: A Survey

no code implementations • 22 Jun 2020 • Zainab Abohashima, Mohamed Elhosen, Essam H. Houssein, Waleed M. Mohamed

Due to the superiority and noteworthy progress of Quantum Computing (QC) in a lot of applications such as cryptography, chemistry, Big data, machine learning, optimization, Internet of Things (IoT), Blockchain, communication, and many more.

BIG-bench Machine Learning Classification +2