Broadband, High-Entropy Chaos Generation Using Two Mutually Injected Semiconductor Lasers for Certified Random Number Generation

This research investigates broadband, high-entropy chaos generation using two mutually injected semiconductor lasers. The chaotic outputs from both lasers can each function as 4-bit random bit generators, achieving a total rate of 512 Gbit/s.

Authors

Institutions

Publication Details

Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11111479
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Broadband, High-Entropy Chaos Generation Using Two Mutually Injected Semiconductor Lasers for Certified Random Number Generation

Sheng-Kwang Hwang, Thomas Lo, Chin-Hao Tseng
Complex Systems and Time Series Analysis
article

Broadband, High-Entropy Chaos Generation Using Two Mutually Injected Semiconductor Lasers for Certified Random Number Generation

Sheng-Kwang Hwang, Thomas Lo, Chin-Hao Tseng
article en

Abstract

This research investigates broadband, high-entropy chaos generation using two mutually injected semiconductor lasers. The chaotic outputs from both lasers can each function as 4-bit random bit generators, achieving a total rate of 512 Gbit/s.

National Cheng Kung University (TW)
Openalex Percentile: Top 71%
Complex Systems and Time Series Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Broadband, High-Entropy Chaos Generation Using Two Mutually Injected Semiconductor Lasers for Certified Random Number Generation — Sheng-Kwang Hwang, Thomas Lo, et al. · (2025) | TGRS Research Map | TGRS