(TheNextWeb) Google today launched TensorFlow Quantum (TFQ), an open-source library for prototyping quantum machine learning models.
Quantum computers aren’t quite mainstream yet, but when they arrive they’ll need algorithms. TFQ fills that Gap by making it possible for developers to create hybrid AI algorithms that use both classical computing techniques and quantum computer circuit simulations.
TFQ works by taking quantum data — information contained in quantum bits, or qubits — and processing it with hybrid AI systems. Called “hybrid-classical AI modelling,” this technique allows researchers and developers to disentangle quantum data so that it can be used to generate predictions about quantum algorithms.

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