Single-shot quantum machine learning

Understand

Quantum machine learning aims to improve learning methods through the use of quantum computers.

• If it is to ever realize its potential, many obstacles need to be overcome.
• A particularly pressing one arises at the prediction stage because the outputs of quantum learning models are inherently random.
• This creates an often considerable overhead, as many executions of a quantum learning model have to be aggregated to obtain an actual prediction.