• Automation framework: CK
  
• Workflow: quantum hackathon workflow
  
• Development repository: ck-quantum
  
• Source: GitHub
  
• How to get the stable version via the CK client:
  
  pip install cbench
  cb download module:hackathon.20180615 --version=1.0.0 --all
  ck get_raw_data hackathon.20180615 --help
• How to get the development version:
  
  pip install ck
  ck pull repo:ck-quantum
  ck get_raw_data hackathon.20180615 --help
  
• How to run from Python:
     import ck.kernel as ck
  
     r=ck.access({'action':'',
                  'module_uoa':'',
                  ... See JSON API below ...
                 })
     if r['return']>0: return r
     ...
  
• Module description: Raw data access (json)
  
• API Python code: Link
  
• JSON API:

          "    Input:  {
              }
  
      Output: {
                return       - return code =  0, if successful
                                           >  0, if error
                (error)      - error text if return > 0
              }
  
  "
         

1st Quantum Computing Hackathon, Cambridge, 15 June 2018

Installation (on Ubuntu)

Install global prerequisites, Python3 and its pip (Python2 is also supported)

$ sudo apt-get install python3 python3-pip

Install Collective Knowledge

$ sudo pip3 install ck

Installation (on MacOS)

Install Python3 and its pip (Python2 is also supported)

$ brew update
$ brew reinstall python

$ pip install ck

Non-root CK installation

You can install CK in your local user space as follows:

$ git clone http://github.com/ctuning/ck
$ export PATH=$PWD/ck/bin:$PATH
$ export PYTHONPATH=$PWD/ck:$PYTHONPATH

Test CK installation

$ ck version

Common part of the workflow installation

Pull CK repositories

$ ck pull repo:ck-quantum
$ ck pull repo:ck-env
$ ck pull repo:ck-rigetti
$ ck pull repo:ck-qiskit

Detect a Python interpreter (interactively choose one if there are several options)

$ ck detect soft:compiler.python

Install this CK repository with all its dependencies (other CK repos to reuse artifacts)

$ ck install package:tool-hackathon

Install pyQuil

$ ck install package:lib-pyquil-1.9.0

Run a demo program (press Enter if prompted)

$ ck run program:pyquil-demo
...

    * tmp-stdout.tmp

      Number of games: 10
      Q's winning average: 1.0
      Picard's flip-decision average: 0.5

Run VQE

$ ck run program:rigetti-vqe

• 1.0.0 (2019-10-16)