In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...

We now have our own terminal tournament featuring a competition for data scientists, analysts, and engineers. Trump mocks Biden and Obama for how they walk — and it reveals more than he realizes Top ...

As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...

Abstract: Several interesting problems in multirobot systems can be cast in the framework of distributed optimization. Examples include multirobot task allocation, vehicle routing, target protection, ...

This repository contains an implementation of distributed matching algorithms for IoT-based resource allocation. The project simulates a complex environment of users, access points, and cloudlets to ...

In a milestone that brings quantum computing tangibly closer to large-scale practical use, scientists at Oxford University Physics have demonstrated the first instance of distributed quantum computing ...

"Sometimes in Quantum Computing one needs to check or test the output of the quantum algorithms. In this tutorial, we are going to show how one can estimate Bloch sphere angles that can be used for ...