# How Quantum Computing Is Uncovering Financial Fraud in Real Time

Page: https://stenobird.com/podcast/quantum-computing-business-with-fexingo-hardware-software-and-enterprise-quantum-7872009/how-quantum-computing-is-uncovering-financial-fraud-in-real-time
Text version: https://stenobird.com/podcast/quantum-computing-business-with-fexingo-hardware-software-and-enterprise-quantum-7872009/how-quantum-computing-is-uncovering-financial-fraud-in-real-time.md
Podcast: [Quantum Computing Business with Fexingo: Hardware, Software, and Enterprise Quantum](https://stenobird.com/podcast/quantum-computing-business-with-fexingo-hardware-software-and-enterprise-quantum-7872009)
Published: 2026-07-18T08:24:42+00:00
Episode link: https://audio.fexingo.com/business/quantum-computing-business/episode-0118.mp3
Audio file: https://audio.fexingo.com/business/quantum-computing-business/episode-0118.mp3
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JSON: https://stenobird.com/v1/public/podcasts/quantum-computing-business-with-fexingo-hardware-software-and-enterprise-quantum-7872009/episodes/how-quantum-computing-is-uncovering-financial-fraud-in-real-time
Duration seconds: 616

## Resource

Fraud detection is a trillion-dollar game of cat and mouse. In episode 118 of Quantum Computing Business with Fexingo, Lucas and Luna dive into how quantum machine learning is starting to spot patterns that classical systems miss — and why JPMorgan Chase and others are already running quantum models on live transaction data. They walk through a specific use case from fraud analytics startup IonQ’s partnership with a European bank: flagging synthetic identity fraud using quantum kernel methods. Lucas explains the key advantage — quantum feature maps can represent high-dimensional correlations in ways that classical support vector machines cannot. Luna challenges him on the hardware reality: current noisy quantum processors limit the feature space to about 20 qubits, which isn't enough for full-scale production. But the takeaway is concrete: hybrid classical-quantum models are already showing a 15-20% improvement in recall for the hardest-to-detect fraud types. No hype, just the engineering and business trade-offs. #QuantumComputing #FraudDetection #JPMorganChase #IonQ #QuantumMachineLearning #SyntheticIdentityFraud #FinancialCrime #BusinessAndTechnology #QuantumKernelMethods #HybridQuantumClassical #MachineLearning #BankingTechnology #Cybersecurity #FexingoBusiness #BusinessPodcast #EnterpriseQuantum #QuantumFinance #ModelRisk Keep every episode free: buymeacoffee.com/fexingo

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