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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.

Quantum Motion’s CEO and co-founders explain why silicon chips are the foundation for scalable, affordable quantum computing. Using standard CMOS foundries, the company deployed its first silicon quantum processor to the UK’s National Quantum Computing Centre in 2025.

Silicon spin qubits trap single electrons in transistor-like structures fabricated on standard 300mm CMOS lines, letting Quantum Motion build quantum processors using the same proven manufacturing that produces every smartphone chip.

Silicon spin qubits leverage 60 years of CMOS manufacturing maturity to deliver the density, uniformity, and integrated control needed to scale quantum computers to the millions of qubits required for fault-tolerant operation.

Quantum Motion presents seven talks at the APS Global Physics Summit 2026 in Denver, covering cryogenic thermal management, spin qubit readout, electron shuttling, decoder confidence, and scalable silicon CMOS quantum dot characterization advancing fault-tolerant quantum computing.

The QUICHE project unites Quantum Motion, FACCTs, and Riverlane to integrate quantum computing with ORCA chemistry software. This UK-Germany collaboration develops automated workflows enabling chemists to run quantum-ready calculations for materials research in solar cells and batteries.