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M. Chertkov

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#diffusion models Open access Sep 2026

Mean-field path-integral diffusion from samples to interacting agents

Moving probability distributions in the context of stochastic processes efficiently is central to modern generative modeling, uncertainty quantification, and control of large engineered systems. Most current methods generate temporal trajectories independently, leaving open whether the trajectories can cooperate throug...

M. Chertkov · 0 citations
Preprint Jul 2026

Driven Quantum Stars as Controlled Primitives for Real-Time Spin Dynamics

Quantum advantage in real-time spin dynamics should be assessed against the strongest relevant classical substitutes, not merely against the qubit nature of the microscopic system. We develop a physics-based diagnostic for this boundary by reducing a qubit spin model to a spin-Landau--Lifshitz (LL) classical sector and...

M. Chertkov · 0 citations

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