English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Unbiased sources of true randomness are critical for the successfuldeployment of stochastic unconventional computing schemes and encryptionapplications in hardware. Leveraging nanoscale thermal magnetizationfluctuations provides an efficient and almost cost-free means of generatingtruly random bitstreams, distinguishing them from predictable pseudo-randomsequences. However, existing approaches that aim to achieve randomness oftensuffer from bias, leading to significant deviations from equal fractions of 0and 1 in the bitstreams and compromising their inherent unpredictability. Thisstudy presents a hardware approach that capitalizes on the intrinsic balance ofphase noise in an oscillator injection locked at twice its natural frequency,leveraging the stability of this naturally balanced physical system. Wedemonstrate the successful generation of unbiased and truly random bitstreamsthrough extensive experimentation. Our numerical simulations exhibit excellentagreement with the experimental results, confirming the robustness andviability of our approach.

Unbiased Random Number Generation using Injection-Locked Spin-Torque Nano-Oscillators