Da-Ming Li

Physics-Constrained Conditional Generative Learning for Quantum State and Process Tomography

A physics-constrained conditional generative adversarial network that bypasses iterative constrained inversion by directly learning a forward generative mapping conditioned on Pauli expectation values is introduced.