TFQ consists of structures such as qubits, gates, circuits, and measurement operators required for specifying quantum computations.
Google is celebrating the first anniversary of TensorFlow Quantum (TFQ), a library for rapid prototyping of hybrid quantum-classical ML models. TFQ is regarded as a tipping point for developments in hybrid quantum and classic machine learning models the company has been pushing for years.
Read more: https://analyticsindiamag.com/google-announces-tensorflow-quantum-0-5-0-expected-features-updates/
An end-to-end open-source platform for Machine Learning. Before we start with TensorFlow, we will need to know what machine learning and deep learning technologies are.
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