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Quantum Semi-Supervised Learning with Quantum Supremacy
We showcase two concrete quantum semi-supervised learning algorithms: a quantum self-training algorithm named the propagating nearest-neighbor classifier, and the quantum semi-supervised K-means clustering algorithm.
Quantum Data Compression and Quantum Cross Entropy
We establish quantum cross entropy's role in quantum data compression, a fundamental machine learning task, by demonstrating that it acts as the compression rate for sub-optimal quantum source coding.
Quantum Cross Entropy and Maximum Likelihood Principle
In the quantum case, when the quantum cross entropy is constructed from quantum data undisturbed by quantum measurements, this relation holds.
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