In this paper, we explore the power of Quantum Machine Learning as we extend, implement and evaluate algorithms like Quantum Support Vector Classifier (QSVC), Pegasos-QSVC, Variational Quantum Circuits (VQC), and Quantum Neural Networks (QNN) in Qiskit with diverse feature mapping techniques for genomic sequence classification.

翻译：本文研究了量子机器学习的能力，我们在Qiskit中扩展、实现并评估了量子支持向量分类器（QSVC）、Pegasos-QSVC、变分量子电路（VQC）和量子神经网络（QNN）等算法，并结合多种特征映射技术，用于基因组序列分类。