Computing variance of gradients in variational quantum circuits will help one to design circuit structure.
It is possible to implement these features with the current data structure. But the better way is to use the ZX-calculus with ground notation. This is more elegant to handle mixed states.
Analyzing the barren plateau phenomenon in training quantum neural networks with the ZX-calculus
Computing variance of gradients in variational quantum circuits will help one to design circuit structure. It is possible to implement these features with the current data structure. But the better way is to use the ZX-calculus with ground notation. This is more elegant to handle mixed states.