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A. Masta

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Open access Jul 2026

Data quantum Fisher information predicts trainability in variational quantum algorithms

In these small, idealised, classically simulated matched-family tasks, the support-basis DQFIM provides a useful data-dependent pre-training diagnostic of effective capacity on the retained data support and contributes predictive information beyond raw parameter count and structural metadata.

Shreyosha Ganguly, A. Masta, Shalini Devendrababu et al. · 0 citations