Random Quantum Circuits as Seeds for Continuous Generative Models

Understand

We introduce a random circuit family and show they are robust against current classical simulation techniques, specifically tensor network contraction and Pauli propagation.

• We also show that local variables do not concentrate, ensuring enough variance to be able to produce a diverse set of data points.
• We therefore argue that using these circuits as a "random seed" for a larger classical generative model is a way to make large-scale quantum-classical hybrid models amenable towards NISQ devices.