ProPauli is a modern and efficient C++ library for the simulation of Quantum circuits. It relies on evolving Quantum observables backward in the Heisenberg picture, an approach that can be ...

Machine learning (ML) approaches are a collection of algorithms that attempt to extract patterns from data and to associate such patterns with discrete classes of samples in the data—e.g., given a ...

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...

A growing body of work underlines striking similarities between biological neural networks and recurrent, binary neural networks. A relatively smaller body of work, however, addresses the similarities ...

Deepfake technology uses deep neural networks to convincingly replace one face with another in a video. The technology has obvious potential for abuse and is becoming ever more widely accessible. Many ...

In this tutorial repo we'll be walking through different gradient descent optimization algorithms by describing how they work and then implementing them in PyTorch (using version 1.10). This tutorial ...