Monitoring Jobs¶
The Jobs page shows every job in your organization regardless of how it was submitted. Jobs created through the Python SDK, Qiskit, PennyLane, or the portal all appear here.
Why This Matters¶
Quantum jobs often run from remote environments — cloud VMs, HPC clusters, or CI pipelines. The portal gives you a single place to monitor everything:
- Check job status from your laptop, phone, or any browser.
- No need to keep your script running to track progress.
- Review and download results days or weeks after a job completes.
Job Status¶
Each job shows its current status:
| Status | Description |
|---|---|
| Created | Job submitted, awaiting credit deduction. |
| Pending | Credits deducted, waiting for dispatch. |
| Queued | Dispatched to the backend, waiting in the execution queue. |
| Running | Circuit is executing on the QPU. |
| Completed | Results are ready to view and download. |
| Failed | Execution failed. Credits are refunded. |
| Canceled | Job was canceled. Credits are refunded. |
See Job Lifecycle for the full breakdown.
Viewing Results¶
On each job card you can:
- Download -- Download the raw result data as JSON when the job is Completed and results are available. Shape depends on the backend (for example measurement counts or other backend-specific JSON).
- ⋯ menu
- Download calibration data -- Shown when the completing execution tagged a calibration snapshot (
calibration_data_url). Opens a presigned JSON download. - Report an issue -- Available for failed jobs.
Job details also include backend, status message, timestamps, and credit cost.
Note
Calibration is optional. If the backend did not attach calibration on completion, the download option does not appear. The same data is available in the Python SDK via job.calibration_data_url and scheduler.download_job_calibration(job).
Filtering and Search¶
Use the Jobs page to filter by status, backend, or date range. This is helpful when reviewing a batch of experiments or tracking down a specific run.