A new study in Physical Review B reveals that popular quantum algorithms like VQE and QPE face massive scaling issues.

Although the potential applications of quantum computing are widespread, a new feasibility study suggests quantum computers ...

The AI adverse event problem nobody is talking about reveals risks in FDA-cleared surgical devices lacking robust clinical trials.

DeepMind’s AlphaProof system solved four out of six problems at the 2024 International Mathematical Olympiad, generating ...

Practical Application: The authors propose QFI-Informed Mutation (QIm), a heuristic that adapts mutation probabilities using diagonal QFI entries. QIm outperforms uniform and random-restart baselines, ...

Abstract: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...

In a new study, scientists successfully trained a brain organoid derived from mouse stem cells to solve an engineering benchmark known as the “cart-pole problem.” By applying weak or strong electric ...

The team's automated reasoning research aims to build algorithms that allow computers to perform logical reasoning. The output of these algorithms is traditionally binary: satisfiable or unsatisfiable ...

“We have 600 petabytes of data across Intel,” said Aziz Safa, corporate VP & GM Intel Foundry Automation at the recent PDF Solutions Users Conference. “The challenge is to be able to run algorithms on ...

Abstract: The power systems are becoming more and more complex due to the inclusion of new components and increasing load demand. Consequently, it is imperative to incorporate additional generation ...

Mental math shortcuts suggest future STEM performance—and gender is a significant predictor What is 29 + 14?