# What is a "repeat until success quantum circuit" in quantum neural networks?

I am working now on a quantum neural network project and want a deep explanation on the Repeat Until Success circuit. What I know about this circuit is that it allows a nonlinear activation function to be applied by rotating around the $$\hat y$$ axis by an angle $$\theta$$. But I don't understand till now how this circuit works? Can someone help me to clarify how it works?

Thank you

• can you edit the post to add links to relevant references you've read on the topic?
– glS
Nov 26 '20 at 11:35