Superlinear Computing
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Hardware • Machine Learning • Quantum Computing
Investigate noise sources and entropy sources in superconducting quantum systems and precision measurement setups. Own physics-level calibration, characterization, readout, error-mechanism analysis, and statistical validation. Develop figures of merit for machine-learning characterization pipelines. The role involves hands-on laboratory work in Palo Alto, remote management of Chicago quantum hardware, and occasional travel to the Chicago lab.
