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README.md
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## Training Convergence
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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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