Check a prototype of 2nd version of this platform
being developed by cKnowledge.org in collaboration with
MLCommons.
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 } "