Probabilistic Computing with NbOx Mott Memristor-based Self-oscillatory pbit

Author:

Rhee Hakseung1,Kim Gwangmin1ORCID,Song Hanchan1ORCID,Park Woojoon1,Kim Do Hoon2,In Jae Hyun1ORCID,Kim Kyung Kim2ORCID

Affiliation:

1. Korea Advanced Institute of Science and Technology

2. KAIST

Abstract

Abstract Energy-based computing is a promising approach for solving NP-hard problems. Probabilistic computing using pbits, which can be fabricated through the semiconductor process and integrated with conventional processing units, can be an efficient candidate for fulfilling these demands. Here, we propose a novel pbit unit comprising a NbOx mott memristor-based oscillator, capable of generating probabilistic bits in a self-clocking manner. The noise-induced mott transition causes the probabilistic behavior, which can be effectively modeled using a multi-noise-induced stochastic process around the mott transition temperature. We demonstrate a memristive Boltzmann machine based on our proposed pbit and validate its feasibility by solving NP-hard problems. Furthermore, we propose a streamlined operation methodology that considers the autocorrelation of individual bits, enabling energy-efficient high-performance probabilistic computing.

Publisher

Research Square Platform LLC

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