Quantum computing is still in at the early stage. However, the technology is maturing rapidly.
To take advantage of tomorrow’s ultra-fast quantum machines, researchers will have to write specialized algorithms that can run on qubits instead of bits, and they’ll need equally specialized development tools to help with the task.
That’s where TensorFlow Quantum comes into the picture. It provides a set of operators, low-level programming building blocks, for creating AI models that work with qubits, quantum logic gates and quantum circuits. These operators abstract away some of the underlying complexity to reduce the amount of code researchers need to write.