Multiplexed Quantum Random Number Generation [PDF]
Quantum, 2019 Fast secure random number generation is essential for high-speed encrypted communication, and is the backbone of information security. Generation of truly random numbers depends on the intrinsic randomness of the process used and is usually limited by ...
Ben Haylock +4 more
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Assessment of Human Random Number Generation for Biometric Verification [PDF]
Journal of Medical Signals and Sensors, 2012 Random number generation is one of the human abilities. It is proven that the sequence of random numbers generated by people do not follow full randomness criteria. These numbers produced by brain activity seem to be completely nonstationary.
Elham Jokar, Mohammad Mikaili
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True random number generation using the spin crossover in LaCoO3 [PDF]
Nature CommunicationsWhile digital computers rely on software-generated pseudo-random number generators, hardware-based true random number generators (TRNGs), which employ the natural physics of the underlying hardware, provide true stochasticity, and power and area ...
Kyung Seok Woo +13 more
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Multi-bit quantum random number generation from a single qubit quantum walk [PDF]
Scientific Reports, 2019 We present a scheme for multi-bit quantum random number generation using a single qubit discrete-time quantum walk in one-dimensional space. Irrespective of the initial state of the qubit, quantum interference and entanglement of particle with the ...
Anupam Sarkar, C. M. Chandrashekar
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Incremental evolution of cellular automata for random number generation [PDF]
, 2003 Cellular automata (CA) have been used in pseudorandom number generation for over a decade. Recent studies show that controllable CA (CCA) can generate better random sequences than conventional one-dimensional (1-d) CA and compete with two-dimensional (2 ...
Guan, SU, Zhang, S
core +8 more sources
Random number generation and working memory. [PDF]
, 2007 We demonstrate the close relationship that exists between random sequence generation and working memory functioning. We clarify the nature of this link by examining the impact of concurrent requirements for random sequence response quality.
Towse, John N., Cheshire, Andrea
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An Evolutionary Approach to the Design of Controllable Cellular Automata Structure for Random Number Generation [PDF]
, 2003 Cellular Automata (CA) has been used in pseudorandom number generation over a decade. Recent studies show that two-dimensional (2-d) CA Pseudorandom Number Generators (PRNGs) may generate better random sequences than conventional one-dimensional (1-d) CA
Guan, SU, Zhang, S
core +6 more sources
Semi-device-independent random number generation with flexible assumptions
npj Quantum Information, 2021 Our ability to trust that a random number is truly random is essential for fields as diverse as cryptography and fundamental tests of quantum mechanics.
Matej Pivoluska +8 more
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Using Daphnia bio-sensor for random number generation [PDF]
Facta Universitatis. Series: Architecture and Civil Engineering, 2013 One of the most used bioassays for toxicity screening of chemicals and for toxicity monitoring of effluents and contaminated waters is the acute toxicity test performed with Daphnia Magna. Standard methods have been developed and gradually improved by
Đorđević Đorđe, Nešić Srbislav
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An architecturally constrained model of random number generation and its application to modeling the effect of generation rate. [PDF]
Front Psychol, 2014 Random number generation (RNG) is a complex cognitive task for human subjects, requiring deliberative control to avoid production of habitual, stereotyped sequences. Under various manipulations (e.g., speeded responding, transcranial magnetic stimulation,
Sexton NJ, Cooper RP.
europepmc +2 more sources