Silicon Quantum Computing appoints W.H. Teh manufacturing chief
Silicon Quantum Computing appointed W.H. Teh as chief manufacturing officer in October 2026. The NVIDIA executive will scale atomic-scale silicon output for AI, simulation and quantum processors.

Why it matters
- W.H. Teh's appointment became effective in October 2026.
- Silicon Quantum Computing places atoms in silicon with 0.13-nanometre accuracy.
- Teh spent nearly a decade in semiconductor technology development and manufacturing at Intel.
- Founded in 2017, SQC says it produces new chips on a weekly cycle.
- John Hollister and Karna Nisewaner joined as CFO and CLO in 2026.
By Rebecca Stone
Silicon Quantum Computing appointed W.H. Teh as chief manufacturing officer in its November 12, 2026 announcement, with the role effective from October 2026.
The Sydney-based company said Teh will oversee the expansion of its atomic semiconductor manufacturing as its quantum systems programme advances. It said he brings more than 20 years of operations leadership across semiconductor, photonics and AI infrastructure businesses.
The company already sells AI and materials simulation chips made through an atomic-scale silicon process while pursuing broader universal quantum computing systems. The announcement places manufacturing scale-up alongside two tracks: current commercial products and long-term quantum hardware.
Silicon Quantum Computing described the appointment as part of its next stage of growth. In the announcement, the company tied Teh’s manufacturing and supply-chain experience to that expansion.
The company assigned Teh responsibility for expanding output, factory planning and the supply chain behind its atomic-scale process. That remit joins production scale to the company’s existing scientific programme rather than separating manufacturing from research.
Founder and Chief Executive Officer Michelle Simmons said:
"W.H. brings a unique skillset to the team: a combination of deep semiconductor expertise and a proven track record of building and scaling manufacturing for some of the world's leading technology companies. His background is directly in line with our growth trajectory, and we are delighted to have him on board."
What will W.H. Teh oversee?
Teh’s remit centers on scaling Silicon Quantum Computing’s atomic semiconductor manufacturing technology. The company designs, fabricates and operates its own quantum processors, which it describes as a vertically integrated manufacturing model.
Its production approach places individual atoms in silicon with 0.13-nanometre accuracy, according to Silicon Quantum Computing. The company said the process supports current sales of AI and materials simulation chips and its broader work on universal quantum computing systems.
SQC says it has produced new chips on a weekly cycle through its in-house quantum processing unit manufacturing operations. Founded in 2017 and headquartered in Sydney, the company says it has built on 25 years of underlying technological work.
The announcement treats atomic placement as a commercial manufacturing capability, not only a laboratory technique. Silicon Quantum Computing links the process to current chip sales, weekly internal production and the system-level work required for practical quantum systems.
That weekly cadence gives the appointment a concrete production focus. The company said Teh’s remit covers both output and supply-chain operations, while its description of his background emphasizes manufacturing footprint planning, supply-chain integration and automation.
The announcement also links the atomic process to system-level development rather than a single fabrication step. Teh described the capability as supporting end-to-end development of practical quantum systems.
Teh said:
"SQC has developed an incredible capability in atomic-precision semiconductor manufacturing for end-to-end development of practical quantum systems. I'm here to scale manufacturing and supply chain to meet the demands of SQC's scientific roadmap, as well as our customers today and into the future."
What manufacturing experience does Teh bring?
Silicon Quantum Computing said Teh has led multi-site manufacturing operations across North America, Europe and Asia. It said his background covers moving products from development into volume manufacturing.
According to Silicon Quantum Computing, his previous roles include:
- At NVIDIA, he led US manufacturing covering work from silicon through systems assembly.
- At Excelitas Technologies, he held senior global operations roles.
- At SanDisk, he managed manufacturing operations.
- At Intel, he spent nearly a decade in semiconductor technology development and manufacturing.
Across those roles, the company said Teh moved from technology development to manufacturing operations and then to multi-site leadership. His stated experience therefore covers both process work and the organizational systems needed to expand production across regions.
At NVIDIA, his remit reached from silicon through systems assembly, according to the company. That span closely matches SQC’s own combination of processor production, system development and operations.
The company listed his education as follows:
- A PhD in semiconductor physics from the University of Cambridge’s Cavendish Labouratory.
- A master’s degree in electrical engineering and computer science from the Massachusetts Institute of Technology.
- An MBA from the MIT Sloan School of Management.
That combination of laboratory research and industrial operations matches the production challenge set out in the announcement. The company said quantum businesses must show research progress while also converting specialist processes into manufacturing systems that can be repeated.
Why does the appointment matter for SQC?
The manufacturing hire forms part of a broader leadership expansion. Silicon Quantum Computing also appointed John Hollister as chief financial officer and Karna Nisewaner as chief legal officer in 2026, as it builds out its manufacturing, finance and legal functions.
Those appointments add financial and legal leadership to the manufacturing buildout. The company presented the three executive hires as parts of the same organizational expansion rather than isolated personnel changes.
The announcement places industrial execution alongside scientific development. It says quantum companies face pressure not only to demonstrate research progress but also to turn specialist processes into repeatable manufacturing systems.
SQC faces that pressure directly because design, fabrication and operation sit inside the company. Its integrated model can offer tighter control over development, but it also increases the importance of manufacturing leadership as production moves beyond research settings.
For SQC, the commercial stakes are already visible in chips for AI and materials simulation. The scientific stakes lie in its broader universal quantum systems programme, and Teh says his job must serve both the roadmap and existing customers.
Teh’s operating brief therefore joins three functions the company placed in one leader’s remit: manufacturing scale, footprint planning and supply-chain integration. The company also listed automation as part of his background, placing process repeatability and factory throughput beside his research credentials.
The vertical structure links atomic placement, processor fabrication and system-level development inside SQC. The company said this end-to-end arrangement supports control over practical quantum systems and the production behind its current AI and materials simulation chip sales.
The announcement frames this combination as a sector-wide requirement. It presents industrial scaling as a complement to scientific work, because repeatable processes determine whether research results can become usable products.
What will Teh have to scale?
Silicon Quantum Computing says its current sales of AI and materials simulation chips run through the same atomic-scale manufacturing platform it wants to support broader quantum systems. That makes the manufacturing appointment relevant to both its present chip business and its longer-term hardware programme.
Teh framed his task as meeting demand from SQC’s scientific roadmap, existing customers and future customers. His stated scope includes manufacturing and the supply chain, while the company separately highlighted footprint planning, integration and automation as capabilities he brings.
The next test is whether SQC can expand manufacturing and supply-chain capacity while maintaining its weekly chip cycle and serving both current AI and materials-simulation customers and the universal-quantum roadmap.
Source: itbrief.com.au
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Correspondent covering companies, deals and strategy in artificial intelligence and machine learning at AI In Context.
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