SPAM-Robust Multi-axis Quantum Noise Spectroscopy in Temporally Correlated Environments

Abstract

Characterizing temporally correlated (``non-Markovian'') noise is a key prerequisite for achieving noise-tailored error mitigation and optimal device performance. Quantum noise spectroscopy can afford quantitative estimation of the noise spectral features; however, in its current form it is highly vulnerable to implementation non-idealities, notably, state-preparation and measurement (SPAM) errors. Further to that, existing protocols have been mostly developed for dephasing-dominated noise processes, with competing dephasing and relaxation effects being largely unaccounted for. We introduce quantum noise spectroscopy protocols inspired by spin-locking techniques that enable the characterization of arbitrary temporally correlated multi-axis noise on a qubit with fixed energy splitting, while remaining resilient to realistic static SPAM errors. By validating our protocol's performance in both numerical simulation and cloud-based IBM quantum processors, we demonstrate the successful separation and estimation of native noise spectrum components as well as SPAM error rates. We find that SPAM errors can significantly alter or mask important noise features, with spectra overestimated by up to 26.4% in a classical noise regime. Clear signatures of non-classical noise are manifest in the reconstructed IBM-qubit dephasing spectra, once SPAM-error effects are compensated for. Our work provides a timely tool for benchmarking realistic sources of noise in qubit devices.

References in corpus (21)

• Supplementary information for "Quantum supremacy using a programmable superconducting processor"
• Randomized Benchmarking of Quantum Gates
• Dynamical decoupling and noise spectroscopy with a superconducting flux qubit
• Gate Set Tomography
• Multiqubit Spectroscopy of Gaussian Quantum Noise
• Non-Markovian Quantum Process Tomography
• Fault-tolerant quantum computation versus Gaussian noise
• Quantum Crosstalk Robust Quantum Control
• Noise-correlation spectrum for a pair of spin qubits in silicon
• Spatial noise correlations beyond nearest-neighbor in ${}^{28}$Si/SiGe spin qubits
• Randomized benchmarking for non-Markovian noise
• Frame-Based Filter-Function Formalism for Quantum Characterization and Control
• Compressive gate set tomography
• Resource-efficient digital characterization and control of classical non-Gaussian noise
• Fourier Transform Noise Spectroscopy
• Quantum Control Noise Spectroscopy with Optimal Suppression of Dephasing
• Experimental Bayesian estimation of quantum state preparation, measurement, and gate errors in multi-qubit devices
• Compressed gate characterization for quantum devices with time-correlated noise
• Digital noise spectroscopy with a quantum sensor
• Non-Markovian Quantum Gate Set Tomography
• Post-selection-free preparation of high-quality physical qubits

Cited by in corpus (6)

• Benchmarking quantum gates and circuits
• Limitations to Dynamical Error Suppression and Gate-Error Virtualization from Temporally Correlated Nonclassical Noise
• Efficiency of Dynamical Decoupling for (Almost) Any Spin-Boson Model
• Hamiltonian Learning via Inverse Physics-Informed Neural Networks
• Efficient learning and optimizing non-Gaussian correlated noise in digitally controlled qubit systems
• Geometric signature of non-Markovian dynamics