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 ...

A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a new study. A ...

You can probably think of a time when you’ve used math to solve an everyday problem, such as calculating a tip at a restaurant or determining the square footage of a room. But what role does math play ...

We present a framework to split quantum circuits of variational quantum algorithms (VQAs) to allow for parallel training and execution to solve problems larger than the number of available qubits in a ...

Combinatorial optimisation addresses the search for optimal configurations within discrete, often high‐dimensional spaces, where the number of feasible solutions grows exponentially with problem size.

Researchers from the Department of Electrical Engineering at Tokyo University of Science in Japan have developed what “a novel approach” to combinatorial optimisation problems (COPs). COPs are ...