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AMD expands PsiQuantum partnership to build quantum computing infrastructure

AMD expands PsiQuantum partnership to build quantum computing infrastructure

Photo: Google DeepMind / Pexels

The chipmaker will co-design systems for PsiQuantum's utility-scale quantum computers and plans an undisclosed equity investment

AMD is getting closer to the quantum computing business. On November 12, 2026, the chipmaker and PsiQuantum announced an expanded strategic partnership to build infrastructure for utility-scale, fault-tolerant quantum computers.

AMD also plans to take an equity stake in PsiQuantum. Neither company has said how much.

What AMD and PsiQuantum are building

The partnership centers on co-designing the hardware and software that will sit around PsiQuantum’s quantum machines. AMD brings its CPUs, GPUs, FPGAs and its ROCm software platform to the table.

PsiQuantum brings its photonic quantum technology, which uses particles of light as the basis for computation. The goal is to make the two worlds work together as a single system.

Each AMD product has a distinct role in that kind of setup. CPUs are general-purpose processors. GPUs handle massive parallel workloads, which is why they power most AI training today. FPGAs are reprogrammable chips that can be rewired for specialized, time-sensitive tasks after they leave the factory. ROCm is AMD’s software stack for running high-performance and AI workloads on its hardware.

The companies say the collaboration will focus specifically on hybrid quantum-classical applications and artificial intelligence. A hybrid approach means splitting a problem so each type of computer handles the part it does best.

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Drug discovery first, Chicago possibly next

The first commercial targets are pharmaceutical research and drug discovery. That choice is not random. Simulating how molecules behave is one of the problems most often cited as a natural fit for quantum machines.

The two companies are also in discussions about establishing a footprint at Chicago’s Illinois Quantum and Microelectronics Park. Those talks have not been finalized, so the location remains a possibility rather than a plan locked in concrete.

PsiQuantum CEO Victor Peng framed the work around three priorities. He pointed to advancing the infrastructure needed for large-scale quantum systems, developing silicon photonics networking and laying the groundwork for next-generation AI applications.

Peng also happens to be a former President of AMD.

Why fault tolerance is the whole game

The phrase doing the heavy lifting in this announcement is “fault-tolerant.” Quantum bits, or qubits, are notoriously fragile. Small disturbances from the environment can introduce errors into a calculation.

A fault-tolerant machine is one that can detect and correct those errors as it runs. Getting there requires a lot of classical computing muscle. Error correction involves constantly monitoring the system and making fast decisions about what went wrong. That is precisely the kind of real-time processing where chips like FPGAs and GPUs earn their keep.

“Utility-scale” is the other key term. It signals machines large and reliable enough to solve useful problems, not just run lab demonstrations.

PsiQuantum’s bet on photonics also shapes the infrastructure challenge. Because its approach is built on light, networking and connecting components with silicon photonics is central to scaling up, which explains why Peng singled it out.

What this means for AMD, PsiQuantum and the quantum race

For AMD, the deal is a way to secure a seat in quantum computing without building a quantum processor itself.

The undisclosed investment size leaves an open question about how deep AMD’s commitment really runs.

Analyst commentary on the immediate impact has been limited so far.

Several things are worth watching from here. One is whether the Chicago site moves from discussion to a signed commitment. Another is whether AMD eventually discloses the size of its equity stake.

Disclosure: This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our Editorial Policy.