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Quantum eMotion Corp V.QNC

Alternate Symbol(s):  QNCCF

Quantum eMotion Corp. is a Canada-based developer of cryptographic solutions. The Company is developing quantum random number generators (QRNG). It offers QRNG2, an USB key that delivers pure entropy at 1.8 Gb/s. Its QRNG2 technology is the quantum random number generator, which is used in consumer electronics. QNG2 provides security to mobile and Internet transactions, Internet of Things (IoT) communication, machine-to- machine connections, networking equipment and cloud-based applications. The Company offers Entropy-as-a-Service (EaaS) concept where a service provider delivers on-demand entropy through a cloud network. Its random number generator (QRNG2) utilizes quantum electron tunneling to produce truly random and unpredictable numbers. By integrating QRNG2 into the QxEaaS platform, it offers a range of on-demand entropy and IT security services for authorized devices. The platform distributes cryptographically secured keys and strings.


TSXV:QNC - Post by User

Bullboard Posts
Post by banxon Dec 17, 2017 12:04am
324 Views
Post# 27172948

TRUE RANDOMNESS IN A QUANTUM WORLD

TRUE RANDOMNESS IN A QUANTUM WORLD
So, are there any examples of truly random events? The answer is yes, but for these examples, you need to delve into the quantum world of atoms and electrons. In quantum mechanics, interactions and movements are not governed by basic cause and effect but by probability. For example, electrons do not orbit in circles around atoms, they appear and disappear within a cloud surrounding the atom. If you look close to an atomic nucleus (the dark area in the diagram – right) you may spot electrons appearing and disappearing but, you will never know exactly when or where this is going to happen (this event is random). The further you move from the nucleus the rarer these appearances and disappearances become, still following a random sequence.

random blog post

ScienceBlog.com (blog)-Dec. 3, 2017
When you command a computer to generate a sequence of random numbers it actually starts from a seed number (any number can be a seed) and then it runs a complex (but predicable) algorithm to generate seeming uncorrelated, random numbers. Here's a gif of a program I made to illustrate random ...

Bullboard Posts