Industries · Aerospace & sovereign programmes
Aerospace & sovereign programmes
Written for
Aerodynamics and mission-engineering groups; national quantum programmes that own a 5 to 25-qubit machine.
The decision
When quantum CFD pays off; what to run on the installed machine now; how to schedule traffic, gates and missions.
How it is done today
Programmes wait for methods that need a hundred qubits; traffic and gates are scheduled with classical tools.
When it goes wrong A machine that is installed and idle; a CFD budget with no date on it.
Applications
| Application | You give | You get | Status |
|---|---|---|---|
| CFD acceleration roadmap Proof Crossover at about 93 logical qubits | A flow problem | The crossover point and the route to it | Roadmap |
| Air traffic flow management and multi-aircraft routing | Flights, sectors and constraints | The flow plan | Deployed through the platform network |
| Airline gate allocation and mission scheduling | Flights, gates and turnarounds | The allocation | Deployed through the platform network |
| Satellite placement and launch-vehicle trajectory | The field problem | The solve, with the cost of the best classical route beside it | Mapped |
| Device characterisation for the installed machine Proof Clock to 0.0029%; the lossy qubit located and routed around at submit | The machine’s calibration export | Its clock, the lossy qubit, and what it can run this quarter | Live on quantum hardware |
| Materials for airframes and propulsion Proof Materials lane: four of four formulations ranked correctly on IBM Heron | Candidate materials | A ranking with the smallest difference it resolves | Live on quantum hardware |
What changes for you
- Circuits that run on the machine already installed: 42 working units on a 256-atom machine, coupling set by placement.
- Heavy compute inside the perimeter, with UAE residency.
- A dated answer on CFD instead of an open-ended one.
First engagement
You send Your machine’s calibration export.
You get back Its characterisation and what it can run this quarter. Two weeks.
Proof · CFD acceleration roadmap · on-premise quantum
Roadmap
~93 logical qubits
the projected crossover for the flow solver, from a measured cost law; the same circuits run at fixed depth on 5–25-qubit national machines today
Baseline The measured cost law of the classical solver; the installed machine’s size
Platform A forward projection; the circuits measured on seven quantum platforms
Decision
When quantum CFD pays off, and what runs on the installed machine today
What is modelled
The cost of the flow-transport solver against its classical equivalent, as a measured scaling law.
Operational outcome
- A dated crossover for quantum CFD
- Fixed circuit depth of three entangling layers from 5 to 156 qubits
- Runs on the 5–25-qubit machine a national programme already owns
Problem size 5–156 qubits · 7 quantum platforms · heavy compute inside the customer perimeter · Scope A projection; no CFD advantage on present hardware is claimed.
Benchmark
Published reference Most application methods need about 100 physical qubits before returning anything; national programmes own 5–25-qubit machines. published resource requirements across the application layer
Merlin Fixed-depth circuits on the installed machine · crossover projected at ~93 logical qubits
Baseline The measured cost law; the installed machine’s size
Further results in this industry
- Heavy computation stays inside the customer perimeter; UAE data residency.
- Device characterisation for hardware buyers: a processor’s own clock read to 0.0029%, and information loss traced to a single qubit (measured on quantum hardware).
Case studies
Mobility · aerospacePrediction
A flow-transport solver mapped to the logical-qubit scale at which we will test it against the classical solver, running today across seven hardware platforms. No advantage on present hardware is claimed.
Other industries
Semiconductors & advanced materials · Energy & utilities · Chemicals & process manufacturing · Mobility & automotive · Telecom · Pharma & life sciences · Finance · Security & critical infrastructure