Data and code underlying the publication "Quantum-network nodes with real-time noise mitigation using spectator qubits"

DOI:10.4121/3929b39b-06e7-45c3-967a-6801e2ea3ae1.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/3929b39b-06e7-45c3-967a-6801e2ea3ae1

Datacite citation style

Loenen, Sjoerd; Wang, Y.; Demetriou, Nicolas; Bradley, Conor E.; Taminiau, Tim H. (2025): Data and code underlying the publication "Quantum-network nodes with real-time noise mitigation using spectator qubits". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/3929b39b-06e7-45c3-967a-6801e2ea3ae1.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Data and jupyter notebooks to reproduce the figures contained in the manuscript called "Quantum-network nodes with real-time noise mitigation using spectator qubits". The objective of the manuscript is to demonstrate improved quantum state storage using ancillary spectator qubits. Measurements on these spectator qubits reveal information about the (correlated) noise that has acted on the memory qubit, that can then be (partially) corrected in real time. The dataset contains simulations and measurements on using spectator qubits in the context of generating entanglement between distant NV centers in diamond. Surrounding nuclear spins act as memory qubit and spectator qubits. We demonstrate both a measurement-based implementation of the spectator qubit protocol and identify that measurements impart additional dephasing. We bypass these measurements in a gate-based implementation. Based on our measurements we show the spectator-induced improvements in memory fidelity for different entanglement generation success probabilities.

History

  • 2025-05-19 first online, published, posted

Publisher

4TU.ResearchData

Format

.pkl files & .ipynb notebooks to analyse the .pkl files.

Organizations

QuTech, Delft University of Technology.
Kavli Institute of Nanoscience, Delft University of Technology

DATA

Files (4)