A Width-Matched Comparison of Hybrid Quantum-Classical Self-Supervised Learning for Fingerprint Recognition

arXiv:2609.39172 · quant-ph, cs.LG · Submitted 2026-09-30 · Read on arXiv

quant-ph, cs.LG

Submitted: 2026-09-30

Updated: 2026-10-02

Code: https://github.com/zhirongw/lemniscate.pytorch

Terminology

• Accuracy — 26× in this paper · explained in 1 episode
• Self-Supervised Learning — 6× in this paper · explained in 8 episodes
• Entanglement — 4× in this paper · explained in 3 episodes
• Hybrid Models — 4× in this paper · explained in 2 episodes
• Quantum Circuits — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Quantum Neural Network — 3× in this paper
• Quantum Self-supervised Learning — 3× in this paper
• Representation Learning — 3× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Contrastive Learning — 2× in this paper · explained in 5 episodes
• Data Augmentation — 2× in this paper · explained in 7 episodes
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Bootstrap Your Own Latent — 1× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Sample Efficiency — 1× in this paper · explained in 4 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• TunnElQNN: A Hybrid Quantum-classical Neural Network for Efficient Learning
• Better than classical? The subtle art of benchmarking quantum machine learning models
• Improved Baselines with Momentum Contrastive Learning
• Benchmarking Quantum Reinforcement Learning
• Hybrid Quantum Neural Networks: Theory, Implementations, and Applications
• Quantum Transfer Learning for MNIST Classification Using a Hybrid Quantum-Classical Approach
• Sokoto Coventry Fingerprint Dataset

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