Mobility · autonomy

Sign off an autonomy controller as safe against real disturbances

A disturbance model measured on a 128-qubit processor was the only one that certified a controller safe at its operating point.

Headline result

95.6% vs 39.5% safe episodes

95.6% safe episodes with the measured disturbance model, same controller, same operating point

Measured on quantum hardwareClassical computation
Still from the Merlin Quantum film: a data-hall aisle
01 · The decision

The decision on the table

A controller tested against textbook white noise can pass and still fail against the disturbances it meets in service. A safety sign-off is only as good as the disturbance model behind it.

02 · What we did

What we did, with proprietary methods

We measured a disturbance model on a 128-qubit quantum processor and used it, alongside the standard white-noise model, as the input to a safety monitor that evaluated the controller at its operating point in simulation.

03 · What it was worth

What it was worth

95.6% safe episodes with the measured disturbance model, same controller, same operating point

Key result · Mobility · autonomy
A safety verdict you can defend
Baseline
The standard white-noise disturbance model: 39.5% safe episodes
Condition
95.6% safe episodes with the measured disturbance model, same controller, same operating point
Outcome

What happened next

The measured disturbance model was the only one under which the controller was certified safe at its operating point. That is the verdict the team can defend: 95.6% safe episodes against 39.5% under white noise.

Decision it enabled

A safety verdict you can defend

Instead of: The standard white-noise disturbance model: 39.5% safe episodes

Verified by · Device result (disturbance model) + simulation (safety evaluation).

05 · How we know

How we know

  1. 01The measured disturbance model was the only one under which the controller was certified safe at its operating point.
  2. 0295.6% safe episodes, against 39.5% under white noise.
  3. 03Not claimed: a learning-speed or alignment advantage, or any gain attributed to the device in training.
StatusMeasured on quantum hardwareClassical computationDisturbance model measured on quantum hardware; the safety evaluation runs in simulation.

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