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.
According to ablog postfrom Google AI:
TFQ provides the tools necessary for bringing the quantum computing and machine learning research communities together to control and model natural or artificial quantum systems; e.g. Noisy Intermediate Scale Quantum (NISQ) processors with ~50 – 100 qubits.
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