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.
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