QuantumLog is building local-first software for quantum and frontier research teams. Starting with Yagoda Console, a multi-workflow system for run visibility, calibration context, benchmark movement, alerts, reproducibility snapshots, and project evidence.
Observe what changed. Preserve what matters. Build with confidence.
A local-first infrastructure layer that connects tools, frameworks, scripts, datasets, logs, calibration records, and custom formats into one operational console. Drift, benchmarks, reproducibility, and evidence in one place.
Quantum projects rarely live inside one clean system. Teams work across frameworks, scripts, datasets, notebooks, calibration records, benchmark histories, instrument logs, configuration files, and custom research formats.
University groups, independent researchers, and collaborative projects that need run visibility across complex workflows.
Teams calibrating and benchmarking systems that need to track drift, movement, and instrument state.
Teams working with circuits, jobs, datasets, and backend benchmarking who need operational visibility.
Local infrastructure, sensitive data, and mixed tooling where cloud upload should not be required by default.
Projects building operational infrastructure before a full observability stack is justified.
Experimental teams using custom workflows, non-standard data formats, and project-specific research processes.
The first QuantumLog product: a local-first console for run visibility, calibration context, benchmark movement, alerts, reproducibility snapshots, and sample data workflows.
Yagoda means strawberry in Bulgarian. Inside QuantumLog, it also works as a product acronym:
Yagoda sits above frameworks, scripts, notebooks, datasets, logs, and project-specific formats. The goal is not to claim official integrations too early. The goal is to make operational context visible across the workflows teams already use.
A planned reasoning layer for QuantumLog. Sova AI is designed to help teams understand alerts, compare selected runs, identify reproducibility risk, and summarize what changed across local project data.
Sova is not designed to control instruments or execute experiments. It supports human review with grounded operational context.
To be announced. Roza is part of the future QuantumLog product family, but the project is not publicly described yet.
Selected researchers, builders, labs, and communities validate real workflow problems.
Local-first run visibility, calibration context, benchmark movement, alerts, and reproducibility snapshots.
Future reasoning layer for explaining alerts, comparing runs, identifying risk, and summarizing what changed.
To be announced.
Long-term direction: all-in-one operational intelligence for quantum and frontier science projects.
Teams operate blind across calibration cycles and workflow transitions. Environment changes go undetected. Run history stays fragmented across tools.
Runs, calibration logs, benchmark histories, and metadata are scattered across frameworks. No single view shows what changed and when.
As quantum projects mature, the teams that can preserve, compare, and reason over operational context will move faster with greater confidence.
QuantumLog is looking for selected research teams, builders, labs, universities, and communities that want to validate the first operational layer for quantum and frontier science workflows.
Share the workflows, tools, datasets, and project context your team works with.
Review whether Yagoda Console matches real operational gaps in your research or development process.
Future pilots can run locally or in a controlled environment. Data should stay inside the team infrastructure by default.
Relevant workflows can influence which adapters and formats QuantumLog prioritizes first.
QuantumLog is building with support from selected universities, communities, research groups, and ecosystem partners.
Partner logos will appear here as collaborations are confirmed.
QuantumLog is a multi-workflow operational layer for quantum projects. Adapter-based architecture connects to your existing tools, QCoDeS, Quantify, or custom stacks, without locking you into a specific framework.
Quantum capability is outpacing the operational layer that keeps systems measurable and legible over time.
Calibration intelligence is painful, specific, and close to budget from day one.
Benchmarking, reproducibility, incident history, and full observability compound into a durable infrastructure position.
Framework-specific adapters (QCoDeS, Quantify, and custom) normalise run data into a unified internal schema. Add support for new workflows without modifying the core layer.
Calibration events are processed in real time. The core builds structured run history, computes drift baselines, and tracks benchmark movement across all connected workflows.
All data lives in your lab. No cloud dependency, no egress, no vendor lock-in. Snapshots, run history, and alerts are stored and queryable entirely on-premises.
The operational interface surfaces run state, drift signals, calibration timelines, benchmark deltas, and alerts. Accessible at yagoda.quantumlog.eu, or deployed locally.