Verification harness for quantum ML. A reproducible lab for stress-testing quantum models where predictive accuracy, identifiability, curvature, and robustness under noise can diverge.
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Updated
Jan 25, 2026 - Python
Verification harness for quantum ML. A reproducible lab for stress-testing quantum models where predictive accuracy, identifiability, curvature, and robustness under noise can diverge.
Systematic comparison of four VQC data-encoding strategies (Angle, Dense Angle, IQP, Data Re-uploading) for NLP sentiment analysis, with multi-seed validation on IMDb/SST-2 and IBM Quantum hardware verification.
Companion notebook for A Technical Introduction to Quantum Neural Networks. Four small PennyLane experiments on encoding, depth and trainability, classical baselines, and finite-shot cost.
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