Episode 45 explores how banks are starting to use quantum computing for risk management, not just for portfolio optimization or fraud detection. We look at a specific use case: JPMorgan Chase's work with IBM Quantum to simulate credit risk scenarios that classical computers can't handle fast enough. We discuss why this matters for regulatory stress tests like CCAR, how quantum algorithms can process thousands of correlated variables simultaneously, and why the near-term value is in hybrid classical-quantum systems. The episode also touches on the talent challenge: banks are hiring quantum physicists, not just quants. A concrete look at how the financial industry is turning quantum theory into operational reality.

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