A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...

The new quantum computing algorithm, called "Quantum Echoes," is the first that can be independently verified by running it ...

Discrete combinatorial optimization has a central role in many scientific disciplines, however, for hard problems we lack linear time algorithms that would allow us to solve very large instances.

Daniel Lokshtanov’s work explores the limits of what computers can solve, paving the way for advances in artificial intelligence and computational efficiency.

A group of researchers at the Massachusetts Institute of Technology have devised a potentially more effective way of helping computers solve some of the toughest optimization problems they face. Their ...

Researchers from Google Quantum AI report that their quantum processor, Willow, ran an algorithm for a quantum computer that ...

Almost weekly a friend or an acquaintance asks me, “I want to learn to code; which language should I start with?” More or less bi-weekly I get a DM on LinkedIn starting with, “My son should start ...

This paper deals with the nonlinear complementarity problem on the product space of unit simplices, S. A simplicial variable dimension algorithm developed by van der Laan and Talman for proper ...