Quantum Machine Learning: A Patent Review
Brian S. Haney, Quantum Machine Learning: A Patent Review, 12 Case W. Res. J.L. Tech. & Internet, vol. 5, 1 (2020).
46 Pages Posted: 22 Jun 2020 Last revised: 21 Oct 2021
Date Written: June 14, 2020
Abstract
One of the central problems bottlenecking machine learning research is classical computational power limits. Quantum computing provides a solution, offering more processing power for less electric cost. Quantum Machine Learning (QML) is a research field at the intersection of quantum computing and machine learning technologies, driving the cutting edge in technological innovation. While the legal literature on software patents is rapidly scaling, the research focused on QML patents is noticeably nascent. As such, this Article contributes the first empirical patent survey for QML technologies.
Keywords: quantum computing, machine learning, patents, quantum machine learning, empirical research
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