A performance characterization of quantum generative models

Understand

Quantum generative modeling is a growing area of interest for industry-relevant applications.

• With the field still in its infancy, there are many competing techniques.
• This work is an attempt to systematically compare a broad range of these techniques to guide quantum computing practitioners when deciding which models and techniques to use in their applications.
• We compare fundamentally different architectural ansatzes of parametric quantum circuits used for quantum generative modeling: 1.