M Anjan Kumar , D Ramana Reddy , Rakhee 3 2 ( April - June ) Epilepsy is a common neural disease among the children and in such cases early and proper diagnosis is of paramount importance to ensure a successful treatment The signals of EEG in paediatrics are very unstable and noisy which complicates the process of automatic seizure detection in traditional systems The paper presents a quantumclassical hybrid framework of the detection of epilepsy by EEG topographic map EEG is processed into topographic representations on the scalp and decomposed into standard frequency bands A lightweight convolutional neural network derives spatial features out of these maps and they are then classified by a Quantum Support Vector Machine with amplitude embedding The framework can be used to evaluate paediatric EEGs especially when compared to classical and quantum classifiers which proves the potential of the framework Copyright (c) World Journal of Pharmaceutical Seiences. All rights reserved 2026