In this episode, Lucas and Luna explore how quantum computers are beginning to simulate financial markets — not just pricing derivatives, but modeling the chaotic, interconnected behavior of traders, algorithms, and news. They focus on a specific breakthrough: a 2025 experiment where a trapped-ion quantum computer simulated a simplified version of the limit order book, the system that matches buy and sell orders on exchanges. Lucas explains why quantum systems are uniquely suited to capturing the 'herding' behavior and feedback loops that classical models miss, and how a 20-qubit simulation outperformed a classical Monte Carlo benchmark. Luna digs into the practical hurdles — noise, qubit count, and the famous 'disconnect' between what quantum does and what finance needs. The episode closes with a look at how quantum simulation might one day help risk managers stress-test portfolios against rare, cascading events. If you've ever wondered when quantum computing will actually matter for markets, this episode gives you a concrete, grounded answer.