Latent-Conditioned Parameterized Quantum Circuits as Universal Approximators for Distributions over Quantum States

ArXi:2605.28690v1 Announce Type: cross Many applications in quantum simulation, quantum chemistry, and quantum machine learning require not a single quantum state but an ensemble of states characterizing the heterogeneity of a target system. Preparing such ensembles state-by-state is prohibitive in both variational and fault-tolerant settings, motivating a generative-modeling approach. We