A Full-Stack View of Probabilistic Computing with P-Bits: Devices, Architectures and Algorithms

By Shuvro Chowdhury et al

Published on June 10, 2022

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Table of Contents

I. Introduction
II. Full-Stack View and Organization
III. Fundamentals of P-Computing
IV. Hardware: Physical Implementation of P-Bits
V. Architecture Considerations

Summary

The document provides a comprehensive review of probabilistic computing with p-bits, focusing on energy-efficient and domain-specific computing. It discusses the integration of transistors with unconventional technologies, particularly in the context of probabilistic algorithms and applications. The paper outlines the applications of probabilistic computers in machine learning, artificial intelligence, combinatorial optimization, and quantum simulation. It also delves into the hardware implementation of p-bits using stochastic magnetic tunnel junctions and the architecture considerations for Gibbs sampling with p-bits.