AI COMPUTE•NVIDIA•GPU CLOUD•DATA CENTERS•SEMICONDUCTORS•ENERGY•FUNDING•M&A•AI COMPUTE•NVIDIA•GPU CLOUD•DATA CENTERS•SEMICONDUCTORS•ENERGY•FUNDING•M&A•
Semiconductors

ORNL, IBM, and AMD Launch New Co-Design Platform for Quantum Error Correction

Research partners aim to deliver a viable quantum computing system by 2028

By GPU Data Hub Desk · GPU Data Hub·Editorial standards··United States
ORNL, IBM, and AMD Launch New Co-Design Platform for Quantum Error Correction

IBM, AMD, and Oak Ridge National Laboratory have partnered to introduce a joint development framework focused on quantum error correction. The collaboration links high-performance computing with quantum research to advance the US Department of Energy's goal of fielding a scientifically viable system by 2028.

Original source

This summary was written by the GPU Data Hub desk from reporting published by HPCwire on 5 Nov 2026, 15:03. Read the full article at the original publisher.

Read Original Source →

By subscribing you consent to receive the daily briefing. Unsubscribe at any time. See our privacy policy.

LinkedInX

More from GPU Data Hub

Latest →

Memory makers mint megabucks while buyers beg for mercy

Strong demand from artificial intelligence workloads has driven dynamic random-access memory revenue up by 369 per cent. Constrained supply conditions have allowed memory producers to realise substantial gains whilst enterprise buyers grapple with steep price increases.

Semiconductors··The Register

A System-Level Approach To Protecting 3D-IC Signal Integrity

Advanced three-dimensional integrated circuit packaging requires comprehensive signal integrity analysis across every physical junction. Designers must evaluate complex electromagnetic interactions spanning interposers, silicon bridges, and high-speed channels to avoid operational degradation. A cohesive system-level methodology is increasingly critical as interconnect density rises.

Semiconductors··Semiconductor Engineering