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Update README.md

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![loss_curve](https://cdn-uploads.huggingface.co/production/uploads/67329d3f69fded92d56ab41a/LDHkVXtixkQm8-ifEBvFv.jpeg)

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@@ -34,7 +34,7 @@ Binary classification of parity of random Pauli-X excitations in 1D cluster stat
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  ## Training Convergence
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- ![Loss Curve](loss_curve.png)
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  MSE loss starts at ~0.268, dips to ~0.243 around evaluation 1.0, then rises again due to noise accumulation.
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  | Run | Qubits | Samples | Shots | Iterations | Final Loss | QPU Time |
 
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  ## Training Convergence
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+ ![loss_curve](https://cdn-uploads.huggingface.co/production/uploads/67329d3f69fded92d56ab41a/LDHkVXtixkQm8-ifEBvFv.jpeg)
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  MSE loss starts at ~0.268, dips to ~0.243 around evaluation 1.0, then rises again due to noise accumulation.
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  | Run | Qubits | Samples | Shots | Iterations | Final Loss | QPU Time |