Recommended Citation
Brian S. Haney,
Quantum Machine Learning: A Patent Review,
12 Case W. Res. J.L. Tech. & Internet
Iss. 1
(2021)
Available at:
https://scholarlycommons.law.case.edu/jolti/vol12/iss1/6
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.