Source code and data underlying the publication "Modular Architectures and Entanglement Schemes for Error-Corrected Distributed Quantum Computation"

DOI:10.4121/2a81510e-9f01-4f45-972e-1dde02e2cf6e.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: 10.4121/2a81510e-9f01-4f45-972e-1dde02e2cf6e

Datacite citation style

Singh, Siddhant; Gu, Fenglei; de Bone, Sebastian; Villaseñor, Eduardo; Elkouss, David et. al. (2024): Source code and data underlying the publication "Modular Architectures and Entanglement Schemes for Error-Corrected Distributed Quantum Computation". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/2a81510e-9f01-4f45-972e-1dde02e2cf6e.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Connecting multiple smaller qubit modules by generating high-fidelity entangled states is a promising path for scaling quantum computing hardware. The performance of such a modular quantum computer is highly dependent on the quality and rate of entanglement generation. However, the optimal architectures and entanglement generation schemes are not yet established. Focusing on modular quantum computers with solid-state quantum hardware, we investigate a distributed surface code's error-correcting threshold and logical failure rate. We consider both emission-based and scattering-based entanglement generation schemes for the measurement of non-local stabilizers. Through quantum optical modeling, we link the performance of the quantum error correction code to the parameters of the underlying physical hardware and identify the necessary parameter regime for fault-tolerant modular quantum computation. In addition, we compare modular architectures with one or two data qubits per module. We find that the performance of the code depends significantly on the choice of entanglement generation scheme, while the two modular architectures have similar error-correcting thresholds. For some schemes, thresholds nearing the thresholds of non-distributed implementations (~0.4 %) appear feasible with future parameters.

History

  • 2024-08-02 first online, published, posted

Publisher

4TU.ResearchData

Format

Source code in Python, MATLAB and Wolfram Mathematica, data in xlsx, pkl, csv, json, pdf

Funding

  • Joint research program "Modular quantum computers" by Fujitsu Limited and Delft University of Technology
  • JST Moonshot R&D (grant code JPMJMS226C)

Organizations

QuTech, Delft University of Technology
Okinawa Institute of Science and Technology Graduate University (OIST), Networked Quantum Devices Unit
Harvard University, Department of Physics
Commonwealth Scientific and Industrial Research Organisation (CSIRO)

DATA

Files (6)