Strong k-contextuality provides a lower bound on classical memory states needed for certain contextual sequential learning tasks and serves as a practical predictor of classical-quantum performance differences.
Quantum inference on Bayesian networks,
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k-Contextuality as a Heuristic for Memory Separations in Learning
Strong k-contextuality provides a lower bound on classical memory states needed for certain contextual sequential learning tasks and serves as a practical predictor of classical-quantum performance differences.