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Quantum interference in Bernstein-Vazirani Networks enables superior feature extraction and generalization in supervised learning tasks, outperforming classical methods without gradient descent.
Coordinate-wise memory control through CMG enables unprecedented accuracy in forecasting quantum dynamics, outperforming traditional methods by over 91%.
