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Zurich Instruments / Quantum computing

Zurich InstrumentsScalable automated qubit bring-up and calibration.

Zurich Instruments QCCS hardware and LabOne Q, combined with Balthazar for orchestration, structured data and decision-aware parameter updates.

Qubit bring-up with Zurich Instruments LabOne Q and Balthazar
Zurich Instruments / Technical collaboration

01 / Zurich Instruments

The challenge

As quantum processing units scale to larger qubit counts, bring-up and calibration become complex and time-consuming. Each new QPU needs iterative measurements (resonator spectroscopy, qubit spectroscopy, Rabi, Ramsey) where results are inspected and used to update the parameters for the next step.

Meanwhile metadata such as instrument settings, pulse parameters, fit results, code versions and environmental context grows rapidly and must stay structured to compare runs, cooldowns and devices.

02 / Zurich Instruments

The approach

LabOne Q provides optimised, editable Python workflows for standard characterisation tasks. Balthazar executes them in a controlled environment, captures full experimental context (inputs, code version, configurations, logs and artifacts) and links results to the QPU and individual qubits in a persistent database.

Selected fit results such as f_ge, T1 and T2 are promoted into the current device state by human review or rule, while the complete measurement history is retained.

Bring-up workflow combining LabOne Q measurements with Balthazar orchestration and device records. Source: Balthazar technical note.
Bring-up workflow combining LabOne Q measurements with Balthazar orchestration and device records. Source: Balthazar technical note.

03 / Zurich Instruments

The result

Standardised, reproducible bring-up at scale, accessible to non-expert users, without giving up Python-level flexibility for expert customisation and automation.

Make every prototype count.

See how Balthazar connects your existing Python, instruments and results in one traceable system.

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