Weather, much like air turbulence, is a chaotic complex system. It is incredibly sensitive to initial conditions. It's notoriously difficult to predict, even with recurrence plots and Poincaré Maps. It's theorized that quantum computing should make systems like this much easier to predict. Accuracy of probability output only increases with an increasing number of quibits, and the natural stochastic process provides an increasingly large data set from which patterns emerge.
With enough quibits and storage capacity, one could even predict future events unrelated to weather... "Probabilistically", of course. Why, it could even be used for things like prediction of viral spread during a pandemic, or even social outcomes like... Oh... Elections, court cases...
The possibilities are practically endless, if you have the right algorithm, good data, and (supposedly yet-to-be-developed?) hardware.
But hey... Q is back. Or Q Team. QT? Quantum Time? Well now i'm (probably?) just guessing...
Weather, much like air turbulence, is a chaotic complex system. It is incredibly sensitive to initial conditions. It's notoriously difficult to predict, even with recurrence plots and Poincaré Maps. It's theorized that quantum computing should make systems like this much easier to predict. Accuracy of probability output only increases with an increasing number of quibits, and the natural stochastic process provides an increasingly large data set from which patterns emerge.
With enough quibits and storage capacity, one could even predict future events unrelated to weather... "Probabilistically", of course. Why, it could even be used for things like prediction of viral spread during a pandemic, or even social outcomes like... Oh... Elections, court cases...
The possibilities are practically endless, if you have the right algorithm, good data, and (supposedly yet-to-be-developed?) hardware.
But hey... Q is back. Or Q Team. QT? Quantum Time? Well now am just guessing...
Weather, much like air turbulence, is a chaotic complex system. It is incredibly sensitive to initial conditions. It's notoriously difficult to predict, even with recurrence plots and Poincaré Maps. It's theorized that quantum computing should make systems like this much easier to predict. Accuracy of probability output only increases with an increasing number of quibits, and the natural stochastic process provides an increasingly large data set from which patterns emerge.
With enough quibits and storage capacity, one could even predict future events unrelated to weather... "Probabilistically", of course. Why, it could even be used for things like prediction of viral spread during a pandemic, or even social outcomes like... Oh... Elections, court cases...
The possibilities are practically endless, if you have the right algorithm, good data, and (supposedly yet-to-be-developed?) hardware.