This portal has been discontinued and archived in 2021, and some functionality may no longer work as expected. Please explore
the next generation of this technology
and contact Grigori Fursin, the author and architect of this platform, for more information.
plugin_path vqe
ck-action:plugin_path vqe (v1.0.0)
License: BSD 3-clause (code) and CC BY-SA 4.0 (data)
Creation date: 2018-07-17
Source: GitHub
cID: 081173242a88bc94:cbe42f3a0180ee94
Don't hesitate to get in touch if you encounter any issues or would like to discuss this community project!
Creation date: 2018-07-17
Source: GitHub
cID: 081173242a88bc94:cbe42f3a0180ee94
Description
- Automation framework: CK
- Workflow: VQE quantum competition pipeline
- Development repository: ck-quantum
- Source: GitHub
- How to get the stable version via the CK client:
pip install cbench
cb download module:vqe --version=1.0.0 --all
ck plugin_path vqe --help - How to get the development version:
pip install ck
ck pull repo:ck-quantum
ck plugin_path vqe --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: simplify running the vqe pipeline and recording the results
- API Python code: Link
- JSON API:
" Input: { type - either 'optimizer' or 'ansatz' (tags) - extra comma-separated tags to narrow down the search (data_uoa) - narrow the search down to just one env entry } Output: { full_path - full path to the plugin python file to be edited plugin_dir - dirname(full_path) plugin_filename - basename(full_path) return - return code = 0, if successful > 0, if error (error) - error text if return > 0 } "