Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Random Sampling Method01:09

Random Sampling Method

15.1K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
15.1K
Random Variables01:09

Random Variables

18.0K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
18.0K
Random Error01:04

Random Error

9.9K
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
9.9K
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

775
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
775
Parallel Processing01:20

Parallel Processing

793
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
793
Randomized Experiments01:13

Randomized Experiments

9.1K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
9.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

An interpretable memory forensics framework for unknown attack identification in power grid edge devices.

Scientific reports·2026
Same author

Oil-Water Flow Monitoring in Wellbores with Inflow Control Valves Using Distributed Acoustic Sensing.

Sensors (Basel, Switzerland)·2026
Same author

Ultrasound Domain Adaptation for Robust Kidney Segmentation via Spectral-Similarity-Guided Translation.

Journal of imaging informatics in medicine·2026
Same author

Non-canonical Platelet activation by oral squamous cell carcinoma extracellular vesicles through cooperative thrombin formation.

Biochemical and biophysical research communications·2026
Same author

Epidemiological characteristics of varicella in Xuzhou from 2015 to 2024: surveillance study.

BMC infectious diseases·2026
Same author

Cordycepin alleviates nicotine withdrawal-induced anxiety <i>via</i> AMPK/CREB/BDNF pathway activation in the hippocampus of male mice.

Drug and alcohol dependence reports·2026
Same journal

A compact low-power magnetic particle imaging scanner based on a permanent-magnet field-free-line generator with high gradient.

The Review of scientific instruments·2026
Same journal

Achieving ultrahigh resolution with high efficiency: Optical design of the two-dimensional Resonant Inelastic X-ray Scattering (2D-RIXS) spectrometer at NanoTerasu beamline 02U.

The Review of scientific instruments·2026
Same journal

Automated laboratory x-ray diffractometer and fluorescence spectrometer for high-throughput materials characterization.

The Review of scientific instruments·2026
Same journal

Nonlinear Bayesian Doppler tomography for simultaneous reconstruction of flow and temperature.

The Review of scientific instruments·2026
Same journal

A Reflectance-based multimodal wearable photoplethysmography (PPG) sensor.

The Review of scientific instruments·2026
Same journal

Temporal analysis of products-Raman (TAP-Raman): An integrated setup for operando spectroscopy and transient kinetic analysis.

The Review of scientific instruments·2026
See all related articles

Related Experiment Video

Updated: Feb 22, 2026

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip
14:09

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

Published on: November 16, 2019

7.4K

Note: A 10 Gbps real-time post-processing free physical random number generator chip.

Yi Qian1, Futian Liang1, Xinzhe Wang1

  • 1State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China.

The Review of Scientific Instruments
|October 2, 2017
PubMed
Summary
This summary is machine-generated.

A new 10 Gbps random number generator ASIC, TRNG2016, was developed for quantum key distribution (QKD). This compact, low-power device generates high-quality random numbers suitable for secure communication systems.

More Related Videos

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device
14:48

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

Published on: April 17, 2021

4.6K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.2K

Related Experiment Videos

Last Updated: Feb 22, 2026

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip
14:09

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

Published on: November 16, 2019

7.4K
Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device
14:48

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

Published on: April 17, 2021

4.6K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.2K

Area of Science:

  • Quantum Cryptography
  • Integrated Circuit Design
  • Information Security

Background:

  • Quantum Key Distribution (QKD) systems require high-speed, compact, and power-efficient random number generators for secure key distribution.
  • Existing solutions may not meet the stringent demands of next-generation QKD protocols.

Purpose of the Study:

  • To design and implement a high-performance Application-Specific Integrated Circuit (ASIC) for random number generation tailored for QKD systems.
  • To achieve a data rate of 10 Gbps with a small form factor and low power consumption.

Main Methods:

  • Development of a novel random number generator ASIC, named TRNG2016.
  • Integration of 10 independent physical random number generation channels.
  • Utilizing a 6 mm × 6 mm QFN48 package for miniaturization.

Main Results:

  • The TRNG2016 ASIC achieves a data rate of 10 Gbps.
  • Each of the 10 channels operates independently at frequencies up to 1 Gbps.
  • Generated random numbers successfully pass NIST statistical tests without post-processing.

Conclusions:

  • The TRNG2016 ASIC provides a robust solution for high-speed random number generation in QKD.
  • Its compact size, low power consumption (773 mW at full load), and high data rate make it ideal for QKD system integration.