Quantum machine learning faces challenges with current quantum hardware, especially in generating high-dimensional data such as images. The Quantum Patch GAN offers a solution by generating images in smaller segments or "patches".

A random walk is a type of algorithmic process that involves taking random steps towards new points, with the probability of reaching a given point being dependent only on the previous point.

The generation of random numbers has been a subject of interest to human beings since ancient times. Proof of this is the existence of objects such as the dice, whose origin is so distant that it is not exactly known to us.