Synergic quantum generative machine learning

Understand

We introduce a new approach towards generative quantum machine learning significantly reducing the number of hyperparameters and report on a proof-of-principle experiment demonstrating our approach.

• Our proposal depends on collaboration between the generators and discriminator, thus, we call it quantum synergic generative learning.
• We present numerical evidence that the synergic approach, in some cases, compares favorably to recently proposed quantum generative adversarial learning.
• In addition to the results obtained with quantum simulators, we also present experimental results obtained with an actual programmable quantum computer.