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Data science operating according to quantum principles—superposition of possibilities, entanglement of variables, probabilistic inference at scale. Quantum Data Science wouldn't test hypotheses one at a time; it would explore superposition of possibilities simultaneously. It would track entanglement between variables that classical analysis treats as independent. It would generate probability amplitudes, not just probabilities. Data science at the quantum frontier—where information behaves like waves.
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