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

Suggested Citation

Haney, Brian, Quantum Machine Learning: A Patent Review (June 14, 2020). Brian S. Haney, Quantum Machine Learning: A Patent Review, 12 Case W. Res. J.L. Tech. & Internet, vol. 5, 1 (2020)., Available at SSRN: https://ssrn.com/abstract=3626534 or http://dx.doi.org/10.2139/ssrn.3626534

Brian Haney (Contact Author)

Independent ( email )

No Address Available
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
234
Abstract Views
1,211
Rank
259,893
PlumX Metrics