In recent years, the prospect of real-world quantum computing has raised hopes for solving hard combinatorial optimisation problems, leading to tremendous theoretical work on developing and analysing ...

From subatomic particles to complex molecules, quantum systems hold the key to understanding how the universe works. But there's a catch: when you try to model these systems, that complexity quickly ...

The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a Berlin team led by theoretical physicist Prof. Dr. Jens Eisert of Freie Universität Berlin ...

Quantum computing’s edge looked closer after a hard physics problem seemed beyond classical machines. But a new result shows compressed math and smarter algorithms can match or beat that benchmark, ...

Quantum computing offers new heuristics for combinatorial problems. With small- and intermediate-scale quantum devices becoming available, it is possible to implement and test these heuristics on ...

A team of physicists from the University at Buffalo has developed a user-friendly method that allows researchers to solve complex quantum problems, once thought to require massive supercomputers, on ...

What if the most complex problems plaguing industries today—curing diseases, optimizing global supply chains, or even securing digital communication—could be solved in a fraction of the time it takes ...

TL;DR: A California-based startup, D-Wave, has achieved quantum computational supremacy by solving a complex materials simulation problem beyond the reach of classical computers. Their annealing ...

The world of quantum video games is vast – there are hundreds that are either inspired by quantum mechanics or use quantum ...

Predicting the behavior of many interacting quantum particles is a complicated process but is key to harness quantum computing for real-world applications. Researchers have developed a method for ...