Probabilistic computing is a computing paradigm that can solve certain problems more efficiently than traditional digital computing. While digital computing deals with deterministic binary bits that are either 0 or 1, probabilistic computing deals with probabilistic bits (p bits) that are sometimes 0 and sometimes 1. This is distinct from quantum computing that deals with quantum bits (qbits) which are a superposition of 0 and 1 (and hence a mixture of both 0 and 1 all the time). Quantum computing usually requires the most hardware resources and digital computing the least, with probabilistic computing between the two. Most of the hardware resources in probabilistic computing are devoted to generating specific correlations between two or more pbit streams. This project will study and demonstrate a system that will greatly reduce the hardware burden associated with generating correlations. The results will make probabilistic computing much more efficient than it currently is. The project will educate K12, undergraduate, and graduate students in this field to increase the pool of skilled scientists and engineers while advancing the field of computing.
Texas ECE PI
Funding Source
Award
$258,000
Grant Award Date
