Quantum Machine Learning
Bell's Theorem is a fundamental result in quantum mechanics that demonstrates the incompatibility of local realism with the predictions of quantum mechanics. It shows that certain predictions made by quantum mechanics, particularly involving entangled particles, cannot be explained by any local hidden variable theory. This theorem highlights the non-local nature of quantum entanglement, which challenges classical intuitions about the separability of distant objects and is closely related to concepts like superposition and entanglement.
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