Feedback calibration policies outperform open-loop baselines in low-latency quantum runtime regimes when workloads are quality-sensitive and start with aged calibrations.
Real-Time Feedback Control of Charge Sensing for Quantum Dot Qubits
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Neural-network autotuning combined with FPGA-accelerated RF reflectometry reduces stability-diagram acquisition time by 9.8x and total single-electron-regime initialization time by 2.2x in a SiGe quantum dot.
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Runtime Calibration as State-Trajectory Feedback Control in Quantum-Classical Workflows
Feedback calibration policies outperform open-loop baselines in low-latency quantum runtime regimes when workloads are quality-sensitive and start with aged calibrations.
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Rapid Autotuning of a SiGe Quantum Dot into the Single-Electron Regime with Machine Learning and RF-Reflectometry FPGA-Based Measurements
Neural-network autotuning combined with FPGA-accelerated RF reflectometry reduces stability-diagram acquisition time by 9.8x and total single-electron-regime initialization time by 2.2x in a SiGe quantum dot.