Correlation free large-scale probabilistic computing using a true-random chaotic oscillator p-bit.

ABSTRACT: Probabilistic computing-quantum-inspired computing that uses probabilistic bits (p-bits)-has emerged as a powerful method owing to its fast search speed and robust connectivity. Previous works used linear feedback shift registers (LFSRs) or stochastic magnetic tunnel junctions (MTJs) to implement p-bits. However, in large-scale problems, periodicity and correlation issues in LFSR p-bits and inherent variations in MTJ-based p-bits with narrow stochastic regions lead to unreliable results when seeking the appropriate solution. Therefore, we propose a fully CMOS frequency-scalable p-bit implemented with a discrete-time flipped-hook tent-map chaotic oscillator. The proposed chaotic oscillator produces high-quality noise voltage that is uniformly distributed across the entire supply voltage ran

SUBMITTER: Lee W 

PROVIDER: S-EPMC11889193 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature