Perspectives on Quantum Characterization and Control in Correlated Noise Environments

Accurate characterization and control of open quantum systems exposed to realistic, spatiotemporally correlated noise are vital for exploiting the full potential of quantum technologies. Thanks to their exquisite sensitivity to the surrounding environment, qubits can be naturally considered as “spectrometers”, or sensors, of their own noise. Over the past decade, this realization has led to the development of quantum control techniques - collectively referred to as “quantum noise spectroscopy” (QNS) - for qubit-based spectral estimation in a variety of platforms. In this talk, I will present some recent developments on both frequency-based QNS methods aimed at obtaining an intrinsic description of the noise properties, and resource-efficient frame-based aimed at noise-tailored predictive control. In particular, I will emphasize recent progress and challenges related to characterizing general (possibly non-classical) non-Gaussian noise effects.