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program:visualize-convergence (v1.0.0)
Creation date: 2018-10-05
Source: GitHub
cID: b0ac08fe1d3c2615:c707814bd9b2f9e3

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Description  

This portable workflow is our attempt to provide a common CLI with Python JSON API and a JSON meta description to automatically detect or install required components (models, data sets, libraries, frameworks, tools), and then build, run, validate, benchmark and auto-tune the associated method (program) across diverse models, datasets, compilers, platforms and environments. Our on-going project is to make the onboarding process as simple as possible via this platform. Please check this CK white paper and don't hesitate to contact us if you have suggestions or feedback!
  • Automation framework: CK
  • Development repository: ck-quantum
  • Source: GitHub
  • Available command lines:
    • ck run program:visualize-convergence --cmd_key=default (META)
  • Support for host OS: any
  • Support for target OS: any
  • Tags: program,lang-python,quantum,visualize-convergence
  • How to get the stable version via the client:
    pip install cbench
    cb download program:visualize-convergence --version=1.0.0 --all
    ck run program:visualize-convergence
  • How to get the development version:
    pip install ck
    ck pull repo:ck-quantum
    ck run program:visualize-convergence

  • CLI and Python API: module:program
  • Dependencies    

    ReadMe  

    A progress monitoring tool for ck run vqe

    This tool provides a text-mode graph for showing the progress of CK VQE optimisation runs.

    USAGE

    ck run program:visualize-convergence
    

    This program helps to visually monitor the convergence of your ck run vqe runs. It can be run before or after your ck run vqe command, and does not need to be restarted for new runs.

    UI

    The top half displays the energy that your optimiser has achieved as a function of iteration. The current run is shown as a filled dot, and prior runs are shown as unfilled dots.

    The stats window shows some relatively self-explanatory metastatistics about your optimisation progress.

    To exit the program, press 'q'.

    Software used

    This program uses asciiplot/AP by mfouesneau, available at https://github.com/mfouesneau/asciiplot. The version contained here has been ported to Pytohn3 using the 2to3 tool.

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