US Patent Issued to Equal1.Labs on Sept. 1 for "Accelerated learning in neural networks incorporating quantum unitary noise and quantum stochastic rounding using silicon based quantum dot arrays" (Irish, American Inventors)

ALEXANDRIA, Va., Sept. 1 -- United States Patent no. 12,726,184, issued on Sept. 1, was assigned to Equal1.Labs Inc. (Fremont, Calif.).

"Accelerated learning in neural networks incorporating quantum unitary noise and quantum stochastic rounding using silicon based quantum dot arrays" was invented by David J. Redmond (Cork, Ireland), Dirk Robert Walter Leipold (Fremont, Calif.), Imran Bashir (San Jose, Calif.) and Robert Bogdan Staszewski (Dublin).

According to the abstract* released by the U.S. Patent & Trademark Office: "A novel and useful system and method of accelerated learning in neural networks using silicon based quantum dot arrays. Unitary noise is derived from a probability of detecting a particle within a quantum dot array struc...