Efficient Probabilistic Computing with Stochastic Perovskite Nickelates

TL;DR

This paper introduces a novel probabilistic computing approach using hydrogen-doped perovskite nickelates, leveraging their stochastic resistance switching for efficient hardware solutions to complex optimization problems.

Contribution

It demonstrates the use of hydrogen-doped perovskite nickelates as scalable stochastic devices for probabilistic computing, enabling energy-efficient and highly parallelized problem-solving architectures.

Findings

Hydrogen ions in nickelates create metastable states affecting transport gaps.

Shared-synapse p-bit architecture achieves efficient optimization solutions.

Perovskite nickelates are promising for scalable probabilistic computing hardware.

Abstract

Probabilistic computing has emerged as a viable approach to solve hard optimization problems. Devices with inherent stochasticity can greatly simplify their implementation in electronic hardware. Here, we demonstrate intrinsic stochastic resistance switching controlled via electric fields in perovskite nickelates doped with hydrogen. The ability of hydrogen ions to reside in various metastable configurations in the lattice leads to a distribution of transport gaps. With experimentally characterized p-bits, a shared-synapse p-bit architecture demonstrates highly-parallelized and energy-efficient solutions to optimization problems such as integer factorization and Boolean-satisfiability. The results introduce perovskite nickelates as scalable potential candidates for probabilistic computing and showcase the potential of light-element dopants in next-generation correlated semiconductors.