Ever since the turn of the century, the technological landscape associated with every industry has been ever-evolving. There are a wide variety of engineering disciplines which have surfaced and are ...

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

The implementation flow for semiconductor devices is all about optimizing for power, performance, area (PPA), or some combination of these attributes. The history of this flow in electronic design ...

ABSTRACT Robust Design Optimization (RDO) using traditional approaches such as Monte Carlo (MC) sampling requires tremendous computational expense. Performing a RDO for problems involving time ...

Over the past decades, researchers and companies worldwide have been trying to develop increasingly advanced quantum computers. The key objective of their efforts is to create systems that will ...

Scientists have demonstrated a breakthrough application of neutral-atom quantum processors to solve problems of practical use. A collaboration between Harvard University with scientists at QuEra ...

Cadence has now launched the ChipStack AI Super Agent, the world’s first agentic workflow for automating chip design and ...

Published in Nature, the study details the first large-scale demonstration of a photonic Ising machine operating without the ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...