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This blog post explores a technique to make legacy Fortran simulation code differentiable using LFortran, Enzyme, and Tesseract, allowing automatic differentiation and integration with JAX for use in machine learning pipelines.
Researchers used classical computers to solve a key chemistry problem involving the nitrogenase enzyme, which was previously thought to require quantum computers, demonstrating that classical methods can still handle complex quantum systems.