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This article covers the intersection of ML and quantum computation, also known as quantum machine learning (QML), allowing scientists to take the classical ML algorithm and translate it into quantum circuits.
As a subset of ML, the inspiration for deep learning is the way that the human brain filters information using hierarchical neural networks to analyze images, text, or sound.