Autferroics-Based True Random Number Generators with Enhanced Performance.

Authors

Jun-Jie Zhang, Shuai Dong, Boris I Yakobson

Published in

Physical review letters. Volume 137. Issue 11. Pages 116801. Sep 11, 2026.

Abstract

Physical entropy-driven true random number generators are essential for emerging probabilistic computing paradigms, but conventional implementations based on magnetic tunneling junctions have reached their performance plateaus limited by inherent tradeoffs and weak tunability. Here, autferroics, a sister branch of multiferroics, is proposed to construct true random number generators. Benefiting from its unique energy landscape due to strong seesaw-type magnetoelectricity, the performance of true random number generation can be significantly enhanced in autferroic tunneling junctions, verified by passing standard statistical tests. Furthermore, autferroics-based random number generators can exhibit multifield tunability and intrinsic multistate randomness, opening an avenue for efficient hardware realization of the complex-number arithmetic and simulation of probability distributions of quantum mixed states within stochastic circuits.

PMID:
42789840
Bibliographic data and abstract were imported from PubMed on 26 Sep 2026.

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