Resource-efficient digital characterization and control of classical non-Gaussian noise

Abstract

We show the usefulness of frame-based characterization and control [PRX Quantum 2, 030315 (2021)] for non-Markovian open quantum systems subject to classical non-Gaussian dephasing. By focusing on the paradigmatic case of random telegraph noise and working in a digital window frame, we demonstrate how to achieve higher-order control-adapted spectral estimation for noise-optimized dynamical decoupling design. We find that, depending on the operating parameter regime, control that is optimized based on non-Gaussian noise spectroscopy can substantially outperform standard Walsh decoupling sequences as well as sequences that are optimized based solely on Gaussian noise spectroscopy. This approach is also intrinsically more resource-efficient than frequency-domain comb-based methods.

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Cited by in corpus (9)

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• SPAM-Robust Multi-axis Quantum Noise Spectroscopy in Temporally Correlated Environments
• Mitigating controller noise in quantum gates using optimal control theory
• Digital noise spectroscopy with a quantum sensor
• Quantum decoherence dynamics in stochastically fluctuating environments
• Open-loop quantum control of small-size networks for high-order cumulants and cross-correlations sensing
• Enhanced Quantum Signal Control and Sensing Under Multicolored Noise via Generalized Filter Function Framework
• Efficient learning and optimizing non-Gaussian correlated noise in digitally controlled qubit systems
• Photon counting statistics in the presence of spectral diffusion induced by nonequilibrium environmental fluctuations