Search · four archives
Search · four archives
15 papers · ranked by Valyu relevance
Chin-Hao Tseng, Atsushi Uchida, Sheng Kwang Hwang
The exponential growth of data transmission and processing speeds in modern digital infrastructure requires entropy sources capable of producing large volumes of true randomness for information security. Chaotic emissions from semiconductor lasers are attractive in this context because of their fast dynamics and…
Juhyung Seo, Seungme Kang, Chaehyun Kim, Taehyun Park + 6 more
We present a photospike-based true random number generator (PS-TRNG) that exploits the intrinsic randomness from light-matter interaction and stochastic charge trapping. By integrating copper vanadate (CuV2O6) nanostructures with a tin dioxide quantum dot (SnO2 QD) layer, the device induces probabilistic…
Théau Wartel, David R. C. Hill
Pseudo-random number generators (PRNGs) are widely used in modern computing and are expected to exhibit excellent statistical performance and repeatability. This study evaluates and compares modern PRNGs used in high performance computing and artificial intelligence. Our selections comes from different families…
Lin Jiang, Jihui Sun, Qiao Zhang, Jincheng Cui + 13 more
Physical random number generators based on chaotic microcombs, with their complex nonlinear dynamics and multi-channel parallel capability, have attracted considerable research attention. However, key technical challenges for chaotic microcombs are the high correlation between symmetric teeth and the low bandwidth of…
Hiroshi Haramoto, Kosuke Suzuki
Massively parallel molecular simulations require pseudorandom number streams that are provably non-overlapping and reproducible across thousands of compute units in parallel computing environments. In the widely used LAMMPS package, the standard RANMAR generator lacks a mathematically exact mechanism to jump ahead…
Christos Tselios, Panagiotis Georgiou, Christina (Tanya) Politi, Dimitris Alexandropoulos + 2 more
Semiconductor lasers have been widely employed in chaos-based information processing due to their ability to generate enhanced chaotic bandwidths. In this study, we investigate broadband polarization chaos in optically injected QD spin-VCSELs and their ability to act as high-speed physical entropy sources for random…
Zhejian Yu
Fast simulation of next-generation sequencing (NGS) data is vital for software development and benchmarking. Here we describe art_modern, an accelerated ART simulator that can simulate various NGS data. We accelerated ART using updated sampling algorithms, single-instruction multiple-data (SIMD) instruction-set…
Ran Zhang, Xiaohan Li, Caihua Wan, Raik Hoffmann + 14 more
Combinatorial optimization underpins applications in artificial intelligence, logistics, and network design, yet classical techniques such as greedy search and dynamic programming struggle to balance efficiency and solution quality at scale. We present a probabilistic framework that embeds true random number generators…
Christoph Lange, Andreas Ahrens, Yadu Krishnan Krishnakumar, Denise Engert + 2 more
Recent advancements in the field of communications and cryptology have attracted significant research efforts in studying randomness of bit sequences. Randomised bit sequences play a vital role in sensor applications by ensuring security (i.e., protecting against brute-force, replay, and eavesdropping attacks in…
R. Mohanapriya, Kumar V. Nithish
In the era of pervasive multimedia communication, image data has become a dominant form of information exchange across embedded, mobile, and IoT platforms. This surge in visual data transmission introduces critical challenges related to confidentiality, authenticity, and tamper resistance particularly in…
Mahmudur Rahman Hera, David Koslicki, Conrado Martínez
With the surge in sequencing data generated from an ever-expanding range of biological studies, designing scalable computational techniques has become essential. One effective strategy to enable large-scale computation is to split long DNA or protein sequences into k-mers, and summarize large k-mer sets into compact…
Kristján Jónasson
A C library for random number generation, Randompack, is presented. The library implements several modern random number generators (engines), including xoshiro256, PCG64, Philox, ranlux++, and sfc64; 14 continuous distributions including uniform, normal, exponential, gamma, beta, and multivariate normal; raw bit…
Nahar F. Alshammari, Faraj H. Alyami, Abdullah G. Alharbi, Saleh Al Dawsari + 3 more
Highlights What are the main findings?1. A hybrid S-box design was developed by combining delayed nonlinear chaotic dynamics, SHA-256-based hash whitening, Fisher-Yates permutation, and affine transformation over GF (2), producing high-quality 8-bit → 8-bit S-boxes displayed in 16 × 16 hexadecimal format. 2. The…
Jarno N. Alanko, Simon J. Puglisi
The colored de Bruijn graph model is the currently dominant paradigm for indexing large microbial reference genome datasets. In this model, each reference genome is assigned a unique color, typically an integer id, and each k-mer is associated with a color set, which is the set of colors of the reference genomes that…
Authors not listed
Recent advances in machine learning force fields (MLFF) have significantly extended the reach of atomistic simulations. Continuous progress in this field requires reliable reference datasets, accurate MLFF architectures, and efficient active learning strategies to enable robust modeling of complex molecular and…