Classifying, auto-encoding and reverse-engineering QUBO matrices
Quantum kernel methods for anomaly detection in manifold-structured telemetry. Benchmarks entanglement-based kernels and classical baselines with geometry diagnostics to study low-data anomaly separation in non-Euclidean dynamical systems.
Expressivity analysis of quantum kernels with PennyLane & PyTorch
AI/ML Graduate Student @ ASU | Scientific Developer @ Cadence | Specializing in GenAI, CUDA, Protein Modeling & Deep Learning
A minimal hybrid Quantum–Graph Neural Network prototype
Repository untuk eksperimen dan latihan Quantum Machine Learning
🧬 Build and explore a minimal Quantum-Graph Neural Network for node classification, combining classical encoders with quantum circuits for enhanced insights.
🤖 Explore advanced AI and machine learning solutions for protein modeling and medical applications, developed by a dedicated data science graduate student.
Hybrid quantum-classical machine learning framework that runs on real quantum computers - bridge between quantum computing and AI.
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