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bme-rmb-pgm

Code files required to produce data for figures in "Haar-random and pretty good measurements for Bayesian state estimation"

https://github.com/mariaquadeer/bme-rmb-pgm

Science Score: 54.0%

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Repository

Code files required to produce data for figures in "Haar-random and pretty good measurements for Bayesian state estimation"

Basic Info
  • Host: GitHub
  • Owner: mariaquadeer
  • License: gpl-3.0
  • Language: C
  • Default Branch: main
  • Size: 80.1 KB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme License Citation

README.md

Haar-random and pretty good measurements for Bayesian state estimation

Paper link: arXiv:2310.20565

Note: The code requires LAPACKE and CBLAS packages.

  1. To produce data for Figure 2 use 'Pure_script.sh'.
  2. To produce data for Figure 3 use 'Ginibre_script.sh'.
  3. To produce data for Figure 4 use 'RankDiff_script.sh'.
  4. To produce data for Figure 5 use 'CliffordvsRMB_run.sh'.
  5. To produce data for Figures 7 and 8 use 'PGM_script.sh'.

Enumerating Cliffords in $\mathbb{C}^2$

Cliffords listed in mainCliffordvsRMBqubit.c were generated using 'CliffordC1enumeration_run.sh'.

Owner

  • Login: mariaquadeer
  • Kind: user

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: BME-RMB-PGM
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Maria
    family-names: Quadeer
    email: mariaquadeer@gmail.com
repository-code: 'https://github.com/mariaquadeer/BME-RMB-PGM'
keywords:
  - Bayesian mean estimation
license: GPL-3.0-or-later

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