Home AI Infrastructure NewsletterWill quantum be the next big accelerator in cloud and AI, boosting training and optimization?

Will quantum be the next big accelerator in cloud and AI, boosting training and optimization?

by Susana SchwartzSusana Schwartz
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Will quantum be the next big accelerator in cloud and AI, boosting training and optimization?

Screenshot 2025-11-07 at 10.07.08 AM

The news that a Google quantum computer recently discovered a previously unobserved exotic phase of matter made me wonder whether quantum is going to be the next big accelerator in the cloud, and how much of AI-driven data center buildouts will eventually fuel the advanced workloads of quantum. How are the two related, and how might they feed one another someday? Quantum computers can train AI models faster and reveal complex patterns that could fuel more accurate AI systems, and AI could help reduce the high error rates and optimize performance in quantum computers. Both are heavily focused on hardware, though Quantum more so, and AI requiring a software component to make it usable.

 

Their potential synergies affect infrastructure decisions today, which is why there’s been a flurry of announcements by Microsoft, Google, Nvidia, and Amazon. They aren’t alone, as network operators and cloud providers are also preparing for quantum in parallel to AI, as reported in RCR Wireless in its Viavi-sponsored “The countdown to Q-Day,” which examines investments in quantum key distribution (QKD), post-quantum cryptography (PQC), and hybrid approaches. Because they don’t want to sacrifice speed, performance, scale, or security, carriers and cloud providers are evaluating practical steps, such as cataloging existing cryptography, testing hybrid systems, modernizing PKI, and evaluating QKD in places where it offers clear benefits. 

 

Striking a balance between preparing infrastructure for the future and preparing it for the present day isn’t easy, but it’s increasingly necessary. Amazon Web Services is trying to walk that line, announcing a new transatlantic subsea fiber optic cable system that will connect Maryland in the U.S. with County Cork, Ireland. Scheduled to go live in 2028, AWS’s Fastnet is being built to “improve network resilience and ensure uninterrupted cloud and AI services for customers.” David Selby, director of Global Network Infrastructure Development at AWS, told RCR Wireless News, that Fastnet will “strengthen AWS’s ability to maintain continuous operations for customer workloads,” delivering more than 320 Tbps. Using advanced optical switching branching unit technology, Fastnet will offer seamless redirection of data to future landing points as AI, edge, and cloud workloads evolve.

Susana 2

Susana Schwartz
Technology Editor
RCRTech

AI Infrastructure Top Stories

Quantum in telecom: MNOs are looking at quantum computers to solve complex mathematical problems dramatically faster, including those for encryption, network authentication, data protection, and ID management.

AWS subsea network – AWS’s Fastnet will be a new transatlantic subsea fiber optic cable system connecting Maryland, U.S. and County Cork, Ireland. Scheduled to go live in 2028, it will improve network resilience for AI services worldwide.

Sovereign AI momentum: Nebius has launched a new London-based facility, powered by Nvidia Blackwell Ultra GPUs, shows momentum for the U.K.’s ambitions to build a domestic AI ecosystems. Private investors pledge billions for the project.
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OpenAI controversy clarified: After controversy over OpenAI CFO’s statements yesterday, CEO Sam Altman responded, “Governments should not pick winners or losers, and that taxpayers should not bail out companies that make bad business decisions or otherwise lose in the market.”

Trump AI czar says “no bailout”: David Sacks responded to OpenAI CFO’s statements about a possible government investment in AI infrastructure by saying “no federal bailout for AI…U.S. has at least five major frontier model companies. If one fails, others will take its place.”

Space-based AI: Google is exploring space-based AI infrastructure with Project Suncatcher, which looks to equip solar-powered satellite constellations with TPUs and free-space optical links that will help scale compute in space.

Moonshot dreams: Alphabet, NVIDIA, and SpaceX are all talking about orbiting data centers for AI — an attempt to address the projected 945 TWh needed by 2030. It’s the latest in the race to address power and water shortages.  

Agentic AI win: Cisco and Intel announced a first-of-its-kind integrated platform for distributed AI workloads. With Intel Xeon 6, compute, networking, storage, and security move closer to the edge for real-time AI inferencing and agentic workloads.

$38 billion partnership: AWS and OpenAI will work on an architectural design to maximize AI processing efficiency and performance. They will cluster NVIDIA GB200s and GB300s via Amazon EC2 UltraServers for low-latency performance.

Chip fab in Vietnam: Meeting with the Global Semiconductor Alliance on Thursday, Vietnam Prime Minister Pham Minh Chinh said the country will establish itself as a “semiconductor hub” in the global supply chain, with first chip fab planned for 2026.

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