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Completed

Shared experiment cleanup

As a user, I want to clean up my experiments before sharing them publicly through the dashboard. For example, to remove failed or irrelevant jobs.

An Anonymous User10 months ago
Completed

Feature request - Plots connected to executions

As an application developer, I want to be able to associate my plots in the experiments with particular circuits and hardware executions

An Anonymous User10 months ago
Completed

Feature Request - Hitting my usage quota. Want easy upgrade path.

As a user, I’m hitting my usage quota and I want an easy way to upgrade my account. Ask: Add upgrade account to the dashboard sidebar nav and show me the available options.

An Anonymous User10 months ago

Feature Request - Getting Started and Interactive Demo for Dashboard

As a user, I want to be know how to use the dashboard and what features are accessible to me. Ask: Consider a guided interactive demo: https://www.storylane.io/tutorials/how-to-use-linears-timeline-view Consider creating a checklist of notebooks that automatically check off when the last cell is run.

An Anonymous User10 months ago
Planned

Feature Request - Better interface to notebooks

As a user I want to be able to rapidly find notebooks I was working. Ask: Show last n recently run notebooks on dashboard board. Let me click and open them. Link the experiment to the notebook and cell where it was initialized. Link the jobs to the notebook and cell where it was run.

An Anonymous User10 months ago

Show total elapsed time in STATE COMPRESSION job progress

Currently, the STATE COMPRESSION job progress output includes messages such as approximation quality, fine-tuning completion, and CNOT count reduction. However, it does not display how long the job took to run. Feature request Add a final line showing the total elapsed time (wall-clock time) for the compression job. For example: Total elapsed time: 32.4 seconds Why this matters Helps users estimate computational cost. Makes it easier to compare performance across circuits or approximation levels. Improves transparency and usability.

An Anonymous User1 year ago