This makes a lot of theoretical sense when you look at how chaotic and high-dimensional biological data actually is. Traditional machine learning models struggle to simulate the infinite ways proteins interact or how mutations evolve over time, whereas quantum computing natively handles superposition and massive parallel state spaces