ALEXANDRIA, Va., Aug. 25 -- United States Patent no. 12,718,138, issued on Aug. 25, was assigned to INTERNATIONAL BUSINESS MACHINES Corp. (Armonk, N.Y.).
"Quantum-enhanced features for classical machine learning" was invented by Nicole Barberis (Laramie, Wyo.), Michael Haydock (Chanhassen, Minn.) and Nicholas Torleiv Bronn (Long Island City, N.Y.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and techniques that facilitate quantum-enhanced features for classical machine learning are provided. In various embodiments, a system can comprise a receiver component that can access a classical dataset. In various aspects, the system can further comprise a feature component that can generate one or more machi...