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Quantum computers are inherently unstable systems, requiring frequent calibration to maintain optimal performance. Traditionally, this process relies on manual intervention, as traditional algorithmic approaches struggle to interpret complex data and balance competing figures of merit in this nascent technology. As systems scale-up, these manual processes can limit uptime, incur substantial engine

Computational fluid dynamics has become one of the essential tools of modern engineering and science. It shapes the design of aircraft and jet engines, informs the aerodynamics of cars and ships, and underpins the numerical models used to forecast weather and understand climate. In each of these domains, the ambition is the same: to predict the behaviour of complex fluids accurately enough to make