WASHINGTON—The Trump administration is awarding $2 billion in grants to nine quantum-computing companies in deals that include U.S. government equity stakes, the Commerce Department said. The move ...
The US Department of Commerce is awarding $2 billion to American quantum-computing companies — half of which will go to IBM — to bolster the buildout of super computers that could solve some of the ...
This article is part of a package on the future of quantum computing. Read about the most promising applications of these machines here and see an illustrated field guide to qubits here. Inside a ...
The clock is ticking on Q-Day, the looming yet unknown date when quantum computing will have the capacity to quickly and easily break the encryption keys that keep most internet communication safe.
AI is inspiring organizations to rethink a fundamental IT concept: the data center. For decades, the data center was a centralized place. It was a handful of large, secure facilities where ...
The persistence diagram, which describes the topological features of a dataset, is a key descriptor in Topological Data Analysis. The “Discrete Morse Sandwich” (DMS) method has been reported to be the ...
Neel Somani, a researcher and technologist with a strong foundation in computer science from the University of California, Berkeley, focuses on advancements of distributed computing across personal ...
Cisco has announced a package of prototype software it says will facilitate distributed quantum computing networks and support real-time applications. Cisco’s Quantum Labs designed a software stack ...
See my blog post for a full explanation of this repository. View a live demo of a static website generated by Structurizr CLI with limited features at structurizr-sample.glen-thomas.com. This ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...
The recent emergence of DeepSeek’s remarkably cost-efficient large language models has sent shockwaves through the AI industry, not just for what it achieved, but for how efficiently it achieved it.
As artificial intelligence (AI) usage and sophistication grows, questions about the sustainability of the traditional model of utilizing huge, centralized data centers are frequently raised.