Silane and germane made by ORNL and PNNL now contain at least 100 times fewer noise-inducing isotopes than commercial materials, with Si-28 purity reaching 99.9999% and Ge-73/Si-29 reduced below 1 part per million.
That gain targets a core quantum-computing bottleneck: stray isotopes disrupt fragile quantum states, so cleaner silicon and germanium feedstocks should improve device stability and operability.
ORNL drove the enrichment step with its electromagnetic isotope separation system, which the DOE said restores scaled U.S. capability lost after older facilities were decommissioned in 1998.
PNNL then converted and purified the enriched material into silane and germane gases while limiting isotopic dilution, producing forms directly usable for quantum chips and research devices.
The DOE tied the milestone to its Genesis Mission and said the domestic supply-chain advance could strengthen U.S. competitiveness in quantum technology.
How will this new class of ultra-pure materials reshape industries beyond just quantum computing?
With isotopic noise now silenced, what is the next great barrier to building a useful quantum computer?
How will government investment in quantum firms shape the global technology race against state-led competitors?
99.9999% Pure Si-28 and Ge-70: U.S. Breakthrough Reshapes Quantum Computing and National Security
Overview
In July 2026, the U.S. Department of Energy announced a major breakthrough for quantum technology, led by Oak Ridge and Pacific Northwest National Laboratories. By combining advanced isotopic enrichment and chemical processing, they produced ultra-enriched silane and germane gases with record purity—at least 100 times purer than anything available commercially. This achievement fills a critical gap in the domestic supply chain, enabling the U.S. to produce essential ultra-pure materials needed for quantum computing and next-generation electronics. The result strengthens national security, supports technological leadership, and paves the way for future innovations in advanced computing.