When designing new computer chips, engineers need to make various decisions about how to connect their underlying components ...

Numerous real-world applications involve large-scale multi-objective optimization problems (LSMOPs) with hundreds or even thousands of decision variables. Although multi-objective evolutionary ...

Computer-generated holography (CGH) provides an approach to digitally modulate a given wavefront. This technology, partly inherited from optical holography and partly advanced by the progress of ...

I had my self-made "evolutionary optimization engine" solve a problem for which the answer was already known.It automatically ...

If your supply chain is drowning in variables, constraints and constant change, quantum optimization may offer a smarter way ...

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 ...

You make decisions every day. Some are big, and some are small. But even the small decisions involve a great deal of complexity. Let me show you what I mean. Take something you probably do regularly: ...

IonQ (NYSE: IONQ), the world's leading full-stack quantum platform and foundry, today detailed joint research with Oak Ridge National Laboratory (ORNL), NVIDIA, and the University of Tennessee, ...

Over the course of my 25-year career in the mathematical optimization software industry, I’ve lost count of how many times I’ve been asked this question: “Can you tell me what mathematical ...

NVIDIA has filed a new patent that will let developers consult AI models like a chatbot to request diagnostics of existing ...