Computing Effective Dimension in Quantum ML with PyTorch

It estimates the Fisher information matrix via automatic differentiation and uses Monte Carlo integration over parameter space for both global and local dimensions. A minimum probability threshold prevents numerical instability, and uniform sampling strategies are applied with corrections to avoid bias in local dimension estimation.

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