Published November 6, 2024 | Version v4
Dataset Open

Data for "Machine learning of reduced quantum channels on NISQ devices"

  • 1. ROR icon Max Planck Institute for the Physics of Complex Systems
  • 2. ROR icon University of Tübingen
  • 3. Eberhard Karls Universität Tübingen
  • 4. University of Nottingham

Description

This dataset contains the data, figures and code of the publication "Machine learning of reduced quantum channels on NISQ devices". I.e., LeNoM (Learning Noise Models) represents the core implementation of our approach.

Files

README.md

Files (176.0 MB)

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md5:1c4e02030629f719caad313cb4cf54be
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md5:f9425a1502ff9eecb2de6a2c8233fac7
176.0 MB Preview Download

Additional details

Dates

Created
2024-05-21
arXiv - preprint
Available
2024-11-12
PRA - publication

Software

Programming language
Python