Mitigating crosstalk and residual coupling errors in superconducting quantum processors using many-body localization

TL;DR

This paper proposes a novel calibration method for superconducting quantum processors using Many-Body Localization to reduce crosstalk and residual coupling errors, improving fidelity and stability efficiently.

Contribution

It introduces a MBL-based calibration scheme that enhances noise resistance and reduces resource requirements compared to existing optimization methods.

Findings

Significant reduction in crosstalk and residual coupling errors.

Improved quantum processor fidelity and stability.

More resource-efficient calibration process.

Abstract

Addressing the paramount need for precise calibration in superconducting quantum qubits, especially in frequency control, this study introduces a novel calibration scheme harnessing the principles of Many-Body Localization (MBL). While existing strategies, such as Google's snake algorithm, have targeted optimization of qubit frequency parameters, our MBL-based methodology emerges as a stalwart against noise, notably crosstalk and residual coupling errors, thereby significantly enhancing quantum processor fidelity and stability without necessitating extensive optimization computation. Not only does this approach provide a marked improvement in performance, particularly where specific residue couplings are present, but it also presents a more resource-efficient and cost-effective calibration process. The research delineated herein affords fresh insights into advanced calibration strategies and propels forward the domain of superconducting quantum computation by offering a robust framework for future explorations in minimizing error and optimizing qubit performance.