II.
Workflow overview
Reference · liveworkflow:quantum-hardware-calibration
Quantum Hardware Calibration overview
Calibrates quantum hardware systems for optimal gate fidelity -- running randomized benchmarking sequences, tuning qubit frequencies to minimize crosstalk, optimizing pulse shapes via DRAG calibration, measuring T1/T2 coherence times, characterizing readout assignment errors, updating the device calibration database, and gating system availability on minimum fidelity thresholds. Excludes hardware maintenance and cryogenic operations.
Attributes
displayName
Quantum Hardware Calibration
workflowKind
operational
triggerType
scheduled
typicalCadence
daily
complexity
single-team
description
Calibrates quantum hardware systems for optimal gate fidelity --
running randomized benchmarking sequences, tuning qubit frequencies
to minimize crosstalk, optimizing pulse shapes via DRAG calibration,
measuring T1/T2 coherence times, characterizing readout assignment
errors, updating the device calibration database, and gating system
availability on minimum fidelity thresholds. Excludes hardware
maintenance and cryogenic operations.
Outgoing edges
applies_to_domain2
- domain:quantum-computing·DomainQuantum Computing
- domain:physics·DomainPhysics
involves_role3
- role:platform-engineer·RolePlatform Engineer
- role:data-scientist·RoleData Scientist
- role:performance-profiler·RolePerformance Profiler
performed_by_org_unit2
- org-unit:research-engineering·OrgUnitResearch Engineering
- org-unit:platform-team·OrgUnitPlatform Team
requires_skill_area2
- skill-area:observability-pipeline·SkillAreaObservability Pipeline
- skill-area:python-data-pipelines·SkillAreaPython Data Pipelines
triggers_responsibility2
- responsibility:data-quality-monitoring·ResponsibilityData quality monitoring
- responsibility:capacity-planning·ResponsibilityCapacity Planning
Incoming edges
None.