Quantum software frameworks for deep learning

Abstract

This chapter presents an overview of two competing frameworks for the development of hybrid quantum-classical deep learning models, Qiskit and Cirq. The target is to provide insight into the selection of the most appropriate tools for users coming from a classical deep learning background that wish to dive into quantum computing.