LIMINAL fits nested Lindblad models to tomographic data and uses likelihood-ratio tests to identify minimal dynamics for a five-qubit superconducting processor, supporting three-local Hamiltonian terms and two-local dissipation but not three-local dissipation.
Millisecond-scale calibration and benchmarking of superconducting qubits
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Feedback calibration policies outperform open-loop baselines in low-latency quantum runtime regimes when workloads are quality-sensitive and start with aged calibrations.
A one-bit feedback protocol estimates a superconducting qubit's bistable frequency from a single shot and stabilizes gate performance with 77% error reduction at 136 kHz bandwidth.
citing papers explorer
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Learning Lindblad Dynamics of a Superconducting Quantum Processor
LIMINAL fits nested Lindblad models to tomographic data and uses likelihood-ratio tests to identify minimal dynamics for a five-qubit superconducting processor, supporting three-local Hamiltonian terms and two-local dissipation but not three-local dissipation.
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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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Operating a bistable qubit
A one-bit feedback protocol estimates a superconducting qubit's bistable frequency from a single shot and stabilizes gate performance with 77% error reduction at 136 kHz bandwidth.