Facial classification Using Hybrid Quantum Machine Learning

arXiv:2609.31915 · cs.CV, quant-ph · Submitted 2026-09-25 · Read on arXiv

cs.CV, quant-ph

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Accuracy — 49× in this paper · explained in 1 episode
• Quantum Circuits — 10× in this paper · explained in 2 episodes
• Hilbert Space — 7× in this paper · explained in 2 episodes
• Variational Quantum Classifier — 7× in this paper
• Alignment — 4× in this paper · explained in 1 episode
• Entanglement — 4× in this paper · explained in 4 episodes
• Noisy Intermediate-Scale Quantum — 4× in this paper
• Feature Extraction — 3× in this paper · explained in 2 episodes
• Principal Component Analysis — 3× in this paper
• Robustness — 3× in this paper · explained in 5 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Labeled Faces in the Wild — 2× in this paper
• Transfer Learning — 2× in this paper · explained in 10 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Computational Tractability — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Contrast Limited Adaptive Histogram Equalization — 1× in this paper
• Core — 1× in this paper · explained in 2 episodes
• Edge Devices — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Lloyds Technology Centre — 1× in this paper
• Loss Function — 1× in this paper · explained in 2 episodes
• Parameter Efficiency — 1× in this paper · explained in 3 episodes
• Query Complexity — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• Supervised quantum machine learning models are kernel methods
• PennyLane: Automatic differentiation of hybrid quantum-classical computations
• Adam: A Method for Stochastic Optimization

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