QPUWafers.com names the physical layer of the next computing era — Quantum Processing Unit fabrication, wafer-scale integration, and the neocloud infrastructure being built to host it. One clean, three-letter acronym; one category; one .com.
Every superconducting QPU today — IBM, Google, Amazon, Microsoft, Origin Quantum — runs inside this stack.
For thirty years, chip vocabulary has run CPU → GPU → TPU. In 2025–2026, "QPU" — Quantum Processing Unit — completed the same transition every prior term made: from a niche engineering label into the noun that appears in cloud consoles, executive orders, and earnings calls. Amazon named its own chip the Ocelot QPU. Every major quantum cloud (IBM Quantum, Azure Quantum, Amazon Braket, Google Quantum AI) bills by QPU-second today.
IBM, Google, Microsoft, Amazon, and China's USTC/Origin Quantum are each fielding new QPU architectures in 2026 — superconducting, topological, neutral-atom, and photonic.
June 22, 2026 — the Trump administration signed twin executive orders naming quantum computing a national strategic priority alongside AI and advanced semiconductors.
2026 global quantum investment, per industry tracking — flowing into fabrication, cryogenics, and the neocloud data-center layer this domain names.
QPUWafers.com is legible from any of the four directions institutional buyers are currently approaching this space from.
IBM's Nighthawk and Loon processors, Google's Willow, Amazon's Ocelot, Microsoft's Majorana 1, and China's Zuchongzhi 3.0 / Origin Wukong-180 are all wafer-fabricated devices — the same lithography and cryogenic packaging discipline as classical chips, applied to qubits instead of transistors.
Cerebras's Wafer-Scale Engine (4 trillion transistors on a single wafer) proved that "aggregating compute at the wafer, not the chip" is a viable architecture for AI workloads — the same principle the QPU roadmap depends on for scaling qubit count.
CoreWeave, Nebius, Crusoe, and Nscale are building the GPU-first "neocloud" layer that hyperscalers don't own outright. Quantum cloud access (QPU-as-a-service) is following an identical commercialization path one cycle behind.
Hybrid quantum-classical workflows — a QPU handling a subroutine inside a classical AI pipeline — are the near-term commercial model every lab is targeting. The infrastructure narrative and the AI-agent narrative are merging into one buyer conversation.
This is an independent domain-sale dossier. QPUWafers.com is not affiliated with, endorsed by, or representing IBM, Google, Amazon, Microsoft, Origin Quantum, Cerebras, or any company named on this site. All company names are used solely to describe the public, factual technology and policy landscape the domain is positioned within. See Policy Catalysts for sourcing.