TY  - GEN
N2  - 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.
AB  - 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.
T1  - Quantum Machine Learning :A Patent Review
AU  - Haney, Brian S.
LA  - eng
ID  - 42099
KW  - Quantum computing
KW  - Machine learning
KW  - Patents
KW  - Quantum machine learning
KW  - Empirical research
TI  - Quantum Machine Learning :A Patent Review
LK  - https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3626534
UR  - https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3626534
ER  -