Learning a quantum computer's capability using convolutional neural networks. (arXiv:2304.10650v1 [quant-ph])

The computational power of contemporary quantum processors is limited by
hardware errors that cause computations to fail. In principle, each quantum
processor's computational capabilities can be described with a capability
function that quantifies how well a processor can run each possible quantum
circuit (i.e., program), as a map from circuits to the processor's success
rates on those circuits. However, capability functions are typically unknown
and challenging to model, as the particular errors afflicting a specific
quantum processor are a priori …

arxiv computational computer convolutional neural networks errors function hardware map networks neural networks power processor processors quantum quantum computer success work