Inkef’s Frank Lansink on backing Quantum Motion since its 2020 Series A, and why silicon spin qubits are quantum computing’s transistor moment.
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Automating fault tolerant compilation for Quantum Motion’s silicon spin architectures using NVIDIA CUDA-Q Logical
14 Sep, 2026
Written by: Tom Bromley, Applications Lead and April Carniol, VP Technology Strategy Quantum Motion is integrating with the newly announced NVIDIA CUDA-Q Logical orchestration layer for fault tolerant compilation, targeting our unique silicon spin systems. Silicon-based quantum computing modalities leverage […] Read more
Investor Spotlight: Why S3 Ventures Invested in Quantum Motion
S3 Ventures’ Aaron Perman on why Quantum Motion’s 300mm CMOS approach makes utility-scale quantum computing economically viable, not just possible.
Investor spotlight: Why Lansdowne Partners backed Quantum Motion
Inkef’s Frank Lansink on backing Quantum Motion since its 2020 Series A, and why silicon spin qubits are quantum computing’s transistor moment.
Investor spotlight: Why imec.ventures backed Quantum Motion
Inkef’s Frank Lansink on backing Quantum Motion since its 2020 Series A, and why silicon spin qubits are quantum computing’s transistor moment.
Why Silicon Spin Qubits Fit Inside the Data Centre
Silicon spin qubits deliver 4,000 logical qubits inside five standard server racks under 200 kW, roughly a thousandfold power reduction versus superconducting systems. Quantum Motion shows why utility-scale quantum computing fits the data center, not a dedicated power plant.
State preparation for quantum chemistry with Quantum Motion and NVIDIA CUDA-Q
Quantum Motion and NVIDIA tackle the state preparation problem for quantum chemistry, releasing the GPU-accelerated MPSCircuits.jl Julia package that compiles tensor-network states into quantum circuits via CUDA-Q to enable high-quality inputs for Quantum Phase Estimation.