Scrambling ability of quantum neural network architectures
In this Letter, we propose a guiding principle for how to design the architecture of a quantum
neural network in order to achieve a high learning efficiency. This principle is inspired by the …
neural network in order to achieve a high learning efficiency. This principle is inspired by the …
Expressivity of quantum neural networks
In this work, we address the question whether a sufficiently deep quantum neural network
can approximate a target function as accurate as possible. We start with typical physical …
can approximate a target function as accurate as possible. We start with typical physical …