Abstract: Topology optimization has emerged as a promising and powerful approach to design engineered materials and components that utilize the ability of advanced manufacturing methods to realize ...

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 ...

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 ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

This paper introduces an enhanced variant of the teaching–learning-based optimization (TLBO) algorithm improved with the hummingbird flight strategy (HBF) (TLBO-HBF), together with more efficient step ...

PALO ALTO, Calif. & GÖLCÜK, Turkey--(BUSINESS WIRE)--D-Wave Quantum Inc. (NYSE: QBTS) (“D-Wave” or the “Company”), a leader in quantum computing systems, software, and services, and Ford Otosan, a ...

"What's the difference between mathematical optimization and machine learning?" This is a question that — as the CEO of a mathematical optimization software company — I get asked all the time.