Episode 56 explores how quantum machine learning is being applied to real-time fraud detection in financial transactions. Lucas and Luna examine a specific case: JPMorgan Chase's quantum-inspired algorithm that processes transaction patterns in milliseconds, reducing false positives by 23% in a 2025 pilot. They discuss the hybrid classical-quantum architecture, the challenge of scaling beyond 100 qubits, and why banks are investing $2.3 billion in quantum fraud detection by 2026. Concrete numbers and a clear angle on a topic not covered before.

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