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Visualize run state, golden references, unstable nodes, and unresolved alerts without leaving the console.
A QuantumLog product
Operational context for quantum and frontier science workflows.
Yagoda Console helps research teams make runs, calibration drift, benchmark movement, alerts, and reproducibility context visible across fragmented tools and local project files.
Product thesis
Specialist tools produce results. Yagoda preserves the operational story around them.
Research work moves through notebooks, exports, scripts, instruments, simulations, file folders, lab notes, and internal conventions. Yagoda is designed as the project layer that helps teams understand what changed, what is missing, and what can be repeated.
Console capabilities
What the first product layer needs to prove.
Collect runs, output references, metadata, instrument state, and project notes in one searchable layer.
Compare selected runs against a baseline or golden reference and show what changed.
Flag drift, regression, incomplete metadata, missing context, and workflow mismatches.
Generate exportable packets with parameters, files, notes, context, and completeness checks.
Direction: hosted validation demo now, local server / lab-server deployment next.
Workflow directions
Yagoda is a mediator layer, not a replacement for the tools researchers already use.
QCoDeS-styleQuantify-styleQiskit jobsLabOne Q-styleQibolab / QibocalHDF5JSONCSV / TSVPython notebooksMATLAB outputsSimulink metadataR scriptsNetCDFInstrument logsHPC job metadataCustom lab scripts
These are workflow directions and file/import targets, not claims of official integrations unless explicitly stated.
Deployment direction
Hosted demo now. Local-first software next.
Scenario-based demo with sample data only. No sensitive data upload.
Controlled pilot for anonymized sample data and workflow mapping.
Browser UI with local project storage and local database direction.
Docker / lab-server / AppImage direction for research teams.
Request pilot access
Validate Yagoda with a real workflow.
Tell us what field, tools, file formats, and project structure you use. Pilot priorities will be based on real research workflows.