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Superior probabilistic computing using operationally stable probabilistic-bit constructed by a manganite nanowire.

Yadi Wang^1,2, Bin Chen^1,2, Wenping Gao^1,2

¹State Key Laboratory of Surface Physics and Institute for Nanoelectronic Devices and Quantum Computing, Fudan University, Shanghai 200433, China.

National Science Review

|March 6, 2025

Summary

This summary is machine-generated.

This study introduces a highly stable probabilistic bit (p-bit) using a manganite nanowire. This stable p-bit enables superior computing performance for optimization problems and high-quality random number generation.

Keywords:

electronic domain dynamics manganite nanowire operational stability probabilistic computing

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Area of Science:

Materials Science
Computer Science
Physics

Background:

Probabilistic computing offers a novel approach to complex optimization problems.
Achieving superior performance requires stable probabilistic bits (p-bits) capable of massive sampling and state tuning.

Purpose of the Study:

To demonstrate a highly stable p-bit for advanced computing applications.
To explore the potential of this p-bit in Bayesian networks and random number generation.

Main Methods:

Fabrication of a p-bit using a manganite nanowire exhibiting distinct metallic and insulating states.
Control of state probabilities using nano-ampere electrical currents.
Evaluation of p-bit stability under extensive operations and simulation of its performance in a Bayesian network.

Main Results:

The manganite nanowire p-bit demonstrated exceptional operational stability with a standard error of <1.3% in probability values.
Simulations confirmed the p-bit's effectiveness in suppressing relative error for correct inference in Bayesian networks.
The p-bit functions as a high-quality random number generator without additional processing.

Conclusions:

The developed manganite nanowire p-bit offers a stable and reliable platform for probabilistic computing.
This technology shows significant potential for enhancing computational performance in optimization and cryptography.