VQC Implementation

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Overview

Designed a 2-qubit parameterized quantum circuit with RY-RZ-CNOT ansatz trained via the parameter-shift rule. Benchmarked against SVM-RBF baseline, achieving 91.2% test accuracy with near-identical AUC (0.9868 vs 0.9871). Analyzed loss landscape, quantum kernel geometry, and barren plateau theory to explain the performance gap.

Highlights

• ✦91.2% test accuracy on classification benchmark
• ✦AUC 0.9868 vs SVM-RBF baseline of 0.9871
• ✦RY-RZ-CNOT ansatz trained via parameter-shift rule
• ✦Analyzed barren plateau theory and quantum kernel geometry

Technologies & Skills