Investors who want to capitalize on the future of quantum computing have a few options. Even as it pushes ahead in AI, Alphabet is making notable headway in quantum computing. IonQ is a pure-play ...

The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been investigated for years. In a recent breakthrough published in the Chinese Journal of ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

SAN FRANCISCO, Oct 24 (Reuters) - IBM (IBM.N), opens new tab said on Friday it can run a key quantum computing error correction algorithm on commonly available chips ...

IBM (NYSE:IBM) said it can run a vital quantum computing algorithm on commonly available chips from Advanced Micro Devices (NASDAQ:AMD), Reuters reported. Jay Gambetta, the IBM vice president running ...

SAN FRANCISCO (Reuters) -IBM said on Friday it can run a key quantum computing error correction algorithm on commonly available chips from Advanced Micro Devices, a ...

Alphabet Inc.’s Google ran an algorithm on its “Willow” quantum-computing chip that can be repeated on similar platforms and outperform classical supercomputers, a breakthrough it said clears a path ...

SAN FRANCISCO, Oct 22 (Reuters) - Google said it has developed a computer algorithm that points the way to practical applications for quantum computing and will be able to generate unique data for use ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...