Enhance README with badges and project description

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Author: christopher-altman

README.md

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 # Quantum Kernel Expressivity: Measuring Inductive Bias and Feature Complexity in Quantum Kernel Methods
 
+*Expressivity analysis of quantum kernels with PennyLane & PyTorch*
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 This repository investigates how expressivity in quantum kernels correlates with feature–space complexity, generalization behavior, and spectral properties of the associated kernel matrices across varying circuit depths, entangling structures, and feature encodings.
 
 The implementation is built using PennyLane, PyTorch, and custom kernel-simulation utilities.