مقاله‌ی دسترسی آزاد

Representation of binary classification trees with binary features by quantum circuits

چکیده

We propose a quantum representation of binary classification trees with features based on probabilistic approach. By using the computer as processor for probability distributions, traversal decision tree can be realized via measurements circuit. describe how inductions and prediction class labels query data integrated into this framework. An on-demand sampling method enables predictions constant number classical memory slots, independent depth. experimentally study our approach both computing simulator actual IBM hardware. To knowledge, is first realization classifier device.

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