Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning
• Abstract Discrete diffusion models typically rely on dimension-wise factorization to avoid computational intractability. • However, we rigorously prove this approach leads to wor