Abstract: An efficient method for generating samples of two uniformly distributed random variables (RVs) on the interval (- 1,1) with prescribed correlation coefficients is proposed in this article.

A little while back, we took a look at a large cargo bike from Urban Arrow that had some interesting features: a drive train that sported continuous variable gearing and a belt drive. But it was ...

How your company can adapt to a complex world. by Jana Werner and Phil Le-Brun The metaphor for business organizations has long been the machine. Like machines, most companies are designed to create ...

The expected value of a random variable is a fundamental concept in probability theory, statistics, and decision theory. It represents the average value we would expect to obtain if we were to repeat ...

Abstract: Quantum random number generators (QRNGs) harness quantum mechanical unpredictability to produce true randomness, which is crucial for cryptography and secure communications. Among various ...

CVsim.jl is a Julia package for simulating continuous variable quantum systems, with a focus on studying quantum information processing using bosonic codes such as Gottesman-Kitaev-Preskill (GKP), Cat ...

What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...

In the real world, probability is a tough thing to characterize. If I roll a die, what does it mean to say that it has a one-sixth chance of coming up 5? We say that the outcome is random because we ...

Quantum annealing (QA) can be competitive to classical algorithms in optimizing continuous-variable functions when running on appropriate hardware, show researchers from Tokyo Tech. By comparing the ...

Epidemiological studies often have missing data, which are commonly handled by multiple imputation (MI). In MI, in addition to those required for the substantive analysis, imputation models often ...