Dataset for "Engineered Robustness for Nonadiabatic Geometric Quantum Gates"

This dataset contains experimental data and processing scripts used to characterize and optimize Nonadiabatic Geometric Quantum Gates (NGQGs) in the context of superconducting qubits. It includes raw data for quantum process tomography (QPT), randomized benchmarking (RB), and robustness characterization against Rabi amplitude errors. This dataset is accompanied by Python-based processing scripts that generate key results such as fidelity plots, robustness curves, and figure-ready visualizations. The data and code provided here allow for the reproducible analysis of NGQGs, enabling further research into the engineering of high-fidelity and robust quantum gates.

Dataset Contents

Raw Data:

QPT Data: Raw datasets for quantum process tomography used to characterize single-qubit gates.

RB Data: Randomized benchmarking data for gate fidelity analysis and characterization.

Robustness Data: Files containing results for robustness characterization, showing how fidelity scales with Rabi amplitude errors.

Processing Code:

Data Processing Scripts: Python scripts that process raw data, generate fidelity curves, and visualize results in formats suitable for publication.

Environment File: A requirements.txt or environment.yml for setting up the correct Python environment to run the code (Python 3.7+).

Figures and Visualizations:

Scripts that generate figure-ready visualizations, including Bloch-sphere representations and fiber-bundle diagrams, as well as fidelity vs error plots.

Documentation:

A README file providing a detailed explanation of the dataset structure, data formats, and instructions on how to use the provided code to reproduce the published figures.

How to Use This Dataset

Download the raw data and code from the repository.

Install the required Python dependencies using the provided environment configuration file.

Run the data processing scripts to load and analyze the raw datasets.

Generate figures for publication or further analysis, including robustness vs error fidelity plots and QPT results.

Dataset Licensing

Code: Licensed under the MIT License.

Data: Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).

Citation

If you use this dataset or the associated processing code, please cite the accompanying manuscript titled "Engineered Robustness for Nonadiabatic Geometric Quantum Gates". The full citation details can be found in the CITATION.cff file.