Oqtant Desktop Suite
Project description
Oqtant
🚀 Quick Install
pip install oqtant
🧭 Introduction
This API contains tools to:
-
Access all the functionality of the Albert Web App (https://albert.coldquanta.com)
- BARRIER (Barrier Manipulator) jobs
- BEC (Ultracold Matter) jobs
-
Build parameterized (i.e. optimization) experiments using AlbertJobs
-
Submit and retrieve AlbertJob results
🤖 How Oqtant Works
-
Construct a single or list of jobs using the AlbertJob class
- 1D parameter sweeps are supported
-
Run a single or list of jobs using run_jobs(). The jobs are submitted to run on hardware in FIFO queue.
- job lists are run sequentially (uninterrupted) unless list exceeds 30 jobs
-
As jobs run, AlbertJob objects are created automatically and stored in active_jobs.
- View these jobs with see_active_jobs()
- These jobs are available until the python session ends.
-
To operate on jobs from a current or previous session, load them into active_jobs with
- load_job_from_id(), load_job_from_id_list(), load_job_from_file(), load_job_from_file_list()
-
To analyze job objects and use Albert's job analysis library, reference the AlbertJob class documentation.
Need help? Found a bug? Contact albert@infleqtion.com for support. Thank you!
📓 Documentation
- Getting started (installation, setting up the environment, How to run the tutorial notebooks)
- Tutorials (demos for creating and submitting jobs)
- Oqtant API docs
- Albert API docs
- Job Analysis docs
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