Learn how to use TensorFlow Quantum to connect your ML workflows to IonQ’s simulators and quantum computers.
>= 0.6.0
), it’s now possible to use the quantum machine learning spinoff of one of the world’s most well-known machine learning libraries with IonQ’s devices. Whether you’re struggling with barren plateaus, or doing full-fledged reinforcement learning, this guide can help you take the first step on the path of becoming a quantum machine learning (QML) expert.
IONQ_API_KEY
.
pip
.
We recommend creating a requirements.txt file and then installing from that:
venv
and install our above requirements in to it, run the following: