Diffusion models are being utilized in physics and chemistry to add noise to data, denoise it, and produce more accurate versions of the original information. These models are enabling the solution of complex problems that traditional physics and chemistry equations cannot handle within a reasonable timeframe. By employing these techniques, approximations can be obtained which are sufficient to address estimation and annealing problems effectively.

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