Qiskit Torch Module

The Qiskit Torch module is a software framework designed to accelerate the development and training of quantum neural networks (QNNs), significantly improving runtime performance compared to existing methods. Current research focuses on leveraging this enhanced speed for various applications, including quantum machine learning algorithms like Variational Quantum Circuits (VQCs) and Quantum Support Vector Classifiers (QSVCs), often applied to genomic data analysis. This improved efficiency facilitates faster prototyping and experimentation, ultimately advancing the field of quantum computing and its practical applications in diverse scientific domains.