1 · Chattanooga, United States
IonQ Forte Enterprise
Live at EPB’s Quantum Center, in the same facility as EPB’s commercial quantum network.
EPB · 18 September ↗← All news reportsWeekly News
12–18 September 2026
The week the pieces started to connect
Five takeaways from quantum computing’s push toward shared infrastructure.
Last week’s report followed the factory being built around the quantum computer. This week, more pieces of that factory started connecting: software across hardware platforms, quantum processors linked to GPUs, quantum chips on 300 mm semiconductor lines, and systems arriving in new regions.
The stack is becoming more connected before the quantum computer itself becomes broadly useful.
01
Software & integration
A common software layer is taking shape
NVIDIA’s CUDA-Q Logical extends its open-source CUDA-Q platform into fault-tolerant system design, and NVQLink connects quantum hardware directly to classical computers. Companies with very different qubits are starting to meet on that layer, with very different evidence behind what each showed. NVIDIA · 14 September ↗
- Quantum Machines ↗CUDA-Q program across live qubits, GPUs and CPUsLive hardware demo
- Qedma ↗Error mitigation inside CUDA-Q, Quantinuum hardware firstSoftware integration
- Infleqtion ↗[[98,18,4]] code: 18 logical qubits in 98 data qubitsCode construction
- Diraq + Iceberg Quantum ↗Iceberg’s Pinnacle on silicon spins: 1,000 logical from 150,000 physicalResource estimate
- Quandela ↗Photonic QPUs beside GPUs and HPC over NVQLinkArchitecture white paper
Infleqtion’s result is a code design, not an 18-logical-qubit hardware run. NVIDIA says the Pinnacle estimate is roughly 10x below Diraq’s previous one. Evidence levels are this report’s reading of each announcement; the banner is an ecosystem view, not a claim that CUDA-Q is already an industry standard.
The investor question: can NVIDIA turn early cross-platform adoption into a durable software position before the hardware architecture settles?
02
Manufacturing
Quantum hardware is moving onto 300 mm lines
Wafer diameter300 mm
The standard wafer of modern high-volume chipmaking
Anderon says its first quantum wafers are already running through the facility. Announcement ↗
- Proposed
Photonic
Project VANGUARD: a multi-tenant Canadian chip facility of up to C$500 million, not yet funded.
14 September ↗ - Demonstrated
Quobly ST
Readout plus one- and two-qubit gates on a chip from ST’s commercial 300 mm FD-SOI line. No fidelities disclosed yet.
16 September ↗ - Funded · running
Anderon IBM
A 300 mm quantum foundry with $2 billion behind it and first wafers in the fab.
16 September ↗
What Quobly shows: basic quantum operations survived the move onto an industrial process. It does not yet show that commercial fabs can make high-quality quantum processors at scale. Different qubits, same problem: at some point, physics has to become manufacturing.
03
Applications
The 14.6% result asks a better question
IonQ and Synopsys added a quantum step to Ansys LS-DYNA, engineering simulation software. The quantum step does not simulate the part. It reorders the equations so the classical solver has less work to do.
- 01 · ClassicalModelA finite-element mesh becomes a large system of equations
- 02 · QuantumPartitionSplit a coarsened graph of those equations
- 03 · ClassicalReorderTurn the split into a solving order that avoids extra work
- 04 · ClassicalSolveLS-DYNA’s solver does most of the computing
Using a partition generated on IonQ Forte, the Drill model’s downstream LS-DYNA wall-clock time fell by about 12%. The larger 14.6% result came from MPS simulation, a classical emulation of the quantum step run on NVIDIA GPUs. A net end-to-end advantage including quantum execution depends on amortizing the reordering step over many subsequent solves.
The better question is the one a customer will ask: did the quantum step make the whole job faster? It is not a quantum-advantage demonstration.
IonQ Forte hardware · 36 qubits
≈12%
MPS simulation · up to 150 qubits
14.6%
Both bars share a 0–15% scale. The paper’s abstract reports gains of at least 5.9% for every model tested. Paper first posted March 2026; IonQ announced the results on 17 September.
04
Deployment
Three deployments widen the map
These are not frontier-scale machines; IQM’s Spark is aimed at education, training and experimentation. But a machine in the building trains the engineers who will operate, integrate and maintain the next one.
2 · Campinas, Brazil
IQM Spark
IQM’s first sale in South America. Installation in Q1 2027, plus access to IQM’s 54-qubit cloud system.
IQM · 17 September ↗3 · Tokyo, Japan
IQM Spark + Radiance
TOYO’s second IQM system; both machines will open to companies, universities, startups and researchers.
IQM / TOYO · 15 September ↗05
What moved, what did not
The stack advanced faster than the proof of utility
I found no new demonstration of fault-tolerant quantum computing and no new quantum-advantage result that changed the near-term picture. That is an observation about this review’s coverage, not an exhaustive count of everything published worldwide.
Advanced this week
- 300 mm manufacturing infrastructure
- QPU ↔ GPU ↔ CPU integration
- Cross-platform error-correction and software tooling
- More physical deployments
- End-to-end hybrid workflow improvement
Not shown this week
- Fault-tolerant quantum computation
- Broad commercial quantum advantage
- Large-scale logical-qubit operation
- Mass-produced high-quality QPUs
- Generalized customer advantage
The right-hand column is scoped to this review week. It is not a claim that these have never been reported. That distinction is not pessimism; it is where the evidence currently stops.
The weekly view
The pieces are starting to touch
Last week, the factory was arriving before the product. This week, the foundry started talking to the qubit designer and the QPU to the GPU. None of this proves that useful quantum computing has arrived, but it makes the next test concrete.
Now the pieces have to work together.