dr.David
Rhodus
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Exercises, Game Days, and Quantum Resilience Training

Operating Quantum Computers · 2 min read

Quantum operators should not meet their incident playbooks for the first time during a real outage. Exercises convert rare failures into rehearsed behavior. They also reveal hidden dependencies, weak handoffs, and ambiguous authority before the platform is under stress.

NIST SP 800-84 provides guidance for test, training, and exercise programs for IT plans and capabilities [R193]. Quantum platforms can adapt that structure to calibration failures, evidence gaps, provider outages, corrupted telemetry, and invalid scientific claims.

DIAGRAM
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Exercises, Game Days, and Quantum Resilience Training · Figure 1
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flowchart LR
    Plan[Exercise plan] --> Scenario[Scenario]
    Scenario --> Conduct[Conduct exercise]
    Conduct --> Observe[Observe decisions]
    Observe --> Evaluate[Evaluate gaps]
    Evaluate --> Improve[Improve runbooks]
    Improve --> Plan

Exercise types

Type Purpose Quantum example
tabletop clarify decisions and authority provider calibration data becomes unavailable
simulation test workflows without live disruption replay queue outage in staging broker
game day intentionally inject controlled failure block evidence writes for low-risk test jobs
red-team style probe misuse and abuse cases attempt policy bypass for restricted workload
science review drill test claim governance challenge benchmark result before publication
DIAGRAM
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Exercise types · Figure 2
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mindmap
  root((Exercise types))
    Tabletop
    Simulation
    Game day
    Red-team style
    Science review drill

Quantum resilience scenarios

DIAGRAM
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Quantum resilience scenarios · Figure 3
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flowchart TB
    Scenario[Scenario catalog] --> Provider[Provider outage]
    Scenario --> Calibration[Calibration rollback]
    Scenario --> Evidence[Evidence corruption]
    Scenario --> Compiler[Compiler regression]
    Scenario --> Decoder[Decoder backlog]
    Scenario --> Cost[Cost runaway]
    Scenario --> Claim[External claim challenge]

The best scenarios are specific. “QPU down” is too vague. “Backend A reports available status, but all chemistry workloads show a sudden readout-bias shift after a compiler target refresh” is useful.

Exercise design packet

Each exercise should have a design packet.

DIAGRAM
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Exercise design packet · Figure 4
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flowchart LR
    Objectives[Objectives] --> Injects[Injects]
    Injects --> Participants[Participants]
    Participants --> Constraints[Constraints]
    Constraints --> Metrics[Metrics]
    Metrics --> AfterAction[After-action report]

Minimum packet fields:

  • objective
  • scenario narrative
  • systems in scope
  • excluded systems
  • participant roles
  • inject timeline
  • expected decisions
  • stop conditions
  • evidence to collect
  • after-action owner

Metrics for drills

Metric Why it matters
time to detection shows whether monitoring sees the fault
time to classification shows whether operators understand the failure domain
time to containment shows whether blast radius is bounded
evidence completeness shows whether decisions can be reconstructed
runbook ambiguity count shows documentation debt
rollback success rate shows whether recovery is executable
DIAGRAM
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Metrics for drills · Figure 5
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sequenceDiagram
    participant Inject as Inject controller
    participant Ops as Operators
    participant Monitor as Monitoring
    participant Owner as Service owner
    participant Review as After-action review
    Inject->>Monitor: trigger controlled fault
    Monitor->>Ops: alert
    Ops->>Owner: classify and escalate
    Owner-->>Ops: approve containment
    Ops->>Review: record timeline and evidence

Safety boundaries

Quantum game days should begin in sandbox environments. Production drills require explicit risk acceptance. Physical-lab injects need additional controls for cryogenic, laser, vacuum, RF, and electrical safety.

DIAGRAM
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Safety boundaries · Figure 6
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stateDiagram-v2
    [*] --> Sandbox
    Sandbox --> Staging: passed
    Staging --> ProductionLimited: risk accepted
    ProductionLimited --> ProductionBroad: repeated success
    ProductionLimited --> Sandbox: unsafe finding

After-action discipline

An exercise is incomplete until lessons are converted into changes.

DIAGRAM
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After-action discipline · Figure 7
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flowchart LR
    Finding[Finding] --> Owner[Owner]
    Owner --> Fix[Fix]
    Fix --> Verify[Verification]
    Verify --> Close[Closure]
    Close --> Retest[Retest later]

Avoid blame. The point is to expose system weaknesses, not individual heroics.

Chapter close

Resilience training turns quantum operations into muscle memory. The platform will fail in unfamiliar ways; operators should not respond with unfamiliar procedures.