Mobility

Know your autonomy controller is safe against the disturbances it will actually meet.

A safety case is only as strong as the disturbance model behind it. We give autonomy and vehicle teams disturbance models measured on quantum hardware, and a dated view of when quantum matters for flow simulation.

What gets in the way today

  • Controllers that pass on white noise and fail in service
  • Safety sign-offs that are hard to defend
  • Flow-simulation compute bills with no clear quantum timeline

What you get

  • A safety verdict at the real operating point
  • A disturbance model you can audit
  • A dated roadmap for flow simulation

The evidence

  • 95.6% safe episodes with a disturbance model measured on a 128-qubit processor, against 39.5% under white noise (hardware input, simulation evaluation).
  • Flow-transport solver crossover projected at about 93 logical qubits; no advantage on present hardware claimed.
  • Not claimed: a learning-speed or alignment advantage.
StatusMeasured on quantum hardwareClassical computationProjection

Read the case

Platform network result

Mobility / smart city

Urban traffic-signal timing

−20% vehicle waiting time vs the conventional method

Condition
Simulation in a virtual environment, June 2020. Not a field trial.
Compute
Quantum-inspired optimisation
Status
Simulation, 2020

Does not show that quantum beats classical.

Through our platform network · partner and client not named

Decide before you build.

Bring us the decision you have to make next.

We tell you which option wins, and whether quantum is the reason.

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