Quantinuum Signs Letter of Intent with U.S. Commerce Department for Quantum Funding
Quantinuum has signed a letter of intent with the U.S. Department of Commerce's CHIPS Research and Development Office to receive federal funding for advancing large scale fault tolerant trapped ion quantum computers, announced in a press release. The proposed funding aims to support the development of quantum systems of national strategic importance and strengthen domestic supply chains.
The collaboration focuses on overcoming technical challenges in scaling trapped ion quantum systems and enhancing U.S. manufacturing and workforce capabilities. Quantinuum plans to partner with GlobalFoundries for semiconductor components and Monarch Quantum for integrated photonics.
GlobalFoundries will contribute semiconductor platforms including cryo CMOS and advanced packaging, while Monarch Quantum will deliver integrated photonics to support scalable manufacturing of quantum systems. The initiative is expected to advance the U.S. position in quantum computing and related technology sectors.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Policy Brief, AI Funding Brief or Daily AI Brief.
Also, consider following us on social media:
More from Regulation
Oct 16 HKMA Introduces ART Framework for AI Use in Banking Oct 15 UK Medicines Regulator Plans AI Safety Tools by 2030 Oct 15 OpenAI Agrees Not to Use Apple Trade Secrets During Lawsuit Oct 15 Financial Stability Board Publishes 12 AI Practices for Financial Firms Oct 15 Singapore Launches Three AI Safety InitiativesMore from Funding
Oct 16 Matters Raises $5 Million to Build AI Consumer Bank Oct 16 KP Labs raises €4.42 million for AI data processing in orbit Oct 15 Origin Raises $20 Million for Autonomous Construction Robots Oct 15 Symbe Raises $5.7 Million for AI Sales Platform Oct 15 Cohere Agrees to Acquire AI Security Startup AISLEAI Funding Brief
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
INmune Bio and QCi Apply Quantum Computing to XPro Research
CGI Federal, DLA and University of Tennessee Study AI and Quantum Logistics
Quantum X Signs Deal to Buy 80% of TraderMade
Ubitium raises $14 million for universal physical AI processor
SQC and Schneider Electric Get A$3.6 Million for Quantum Energy Forecasting
Daily AI Brief: the AI news that matters, in your inbox.