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Yuval Boger interviews Jonathan, a physicist who leads the Product Solutions team at Quantum Machines. They discuss how quantum control challenges have evolved from rapid experiment iteration to squeezing higher fidelities and enabling low-latency, accelerator-connected workflows needed for quantum error correction. Jonathan describes QM’s stack—from QUA and calibration libraries to Qualibrate, and OPX-NIC / DGX Quantum for fast decoder development and reinforcement-learning-driven calibration. They also explore what it will take to scale control systems beyond racks of boxes, what skills labs need to operate quantum computers, how QM approaches customer IP protection, and why Jonathan remains a spin-qubit fan while admiring recent AMO momentum.
Insider Brief: As the UK accelerates national investment in quantum technologies, financial institutions are increasingly under pressure to move from exploration to execution. In late
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