Domain-Aware Hybrid Quantum Learning via Correlation-Guided Circuit Design for Crime Pattern Analytics

arXiv:2604.07389 · cs.LG · Submitted 2026-04-08 · Read on arXiv

cs.LG

Submitted: 2026-04-08

Updated: 2026-09-05

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 15× in this paper · explained in 1 episode
• Entanglement — 7× in this paper · explained in 3 episodes
• Hybrid Architectures — 5× in this paper · explained in 3 episodes
• Benchmarking — 4× in this paper · explained in 3 episodes
• Edge Deployment — 4× in this paper · explained in 2 episodes
• Hilbert Space — 3× in this paper · explained in 2 episodes
• Hybrid Models — 3× in this paper · explained in 2 episodes
• Computational overhead — 2× in this paper · explained in 2 episodes
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Combinatorial Optimization — 1× in this paper · explained in 2 episodes
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Quantum Approximate Optimization Algorithm — 1× in this paper
• Quantum Circuits — 1× in this paper · explained in 2 episodes
• Variational Quantum Classifier — 1× in this paper

Sources

• A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead
• Better than classical? The subtle art of benchmarking quantum machine learning models
• Quantum Machine Learning for Digital Health? A Systematic Review
• A Quantum Approximate Optimization Algorithm

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