Google Launches Tensorflow For Quantum Computers
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 a blog post from Google AI: TFQ works by taking quantum data — information contained in quantum bits, or qubits — and processing it with hybrid AI systems. Read: 2019 was a huge year for quantum computing 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....