Quantum Mechanics And Bayesian Machines

This compendium brings together the fields of Quantum Computing, Machine Learning, and Neuromorphic Computing. It provides an elementary introduction for students and researchers interested in quantum or neuromorphic computing to the basics of machine learning and the possibilities for using quantum devices for pattern recognition and Bayesian decision tree problems. The volume also highlights some possibly new insights into the meaning of quantum mechanics, for example, why a description of Nature requires probabilistic rather than deterministic methods.

這本彙編將量子計算、機器學習和神經形態計算領域結合在一起。它為對量子或神經形態計算感興趣的學生和研究人員提供了一個初步介紹，介紹了機器學習的基礎知識以及使用量子設備進行模式識別和貝葉斯決策樹問題的可能性。該卷還突出了一些對量子力學意義的可能新見解，例如，為什麼對自然的描述需要概率而不是確定性方法。