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Computing and AI
Developments in quantum computing, artificial intelligence infrastructure, hardware, and related policy and research.
7 items in this section — 2026-09-27
2026-09-26
Nearly half of firms evaluating quantum technology are prioritizing fault-tolerance roadmaps over raw qubit counts, according to a QuEra Computing survey, with neutral-atom architecture emerging as the leading hardware choice at 23%.
A new DOE quantum computing report, led by Fermilab's Anna Grassellino, proposes shifting success metrics from hardware scale to scientific utility, outlining a three-phase roadmap aligned with the national Quantum Genesis Initiative.
McKinsey projects AI infrastructure investment will surpass $769 billion in 2026, even as leading companies and executives raise concerns about the pace of development and the adequacy of existing safety measures.
2026-09-25
The DOE's SCAC Quantum Subcommittee has published a milestone-driven roadmap for quantum computing, outlining a three-phase strategy toward scientific utility and a long-term vision for a dedicated Quantum Computing User Facility.
Researchers from Georgetown University and the University of Washington found that misleading AI-generated summaries can manipulate human memory, raising concerns about AI use in high-stakes settings such as law enforcement.
Microsoft's new 15,000-square-foot quantum research center in Maryland is now operational, hosting a DARPA topological system and launching workforce training initiatives with partners including AMD, Intel, and Fermilab.
At a Beijing forum, Chinese researchers and industry leaders outlined major progress in optoelectronic fusion and silicon carbide semiconductors, presenting manufacturing milestones and domestic supply chain achievements aimed at meeting growing AI infrastructure demands.