The decision on the table
Flow simulation is one of the largest compute bills in aerospace and automotive design. Buyers need to know when quantum could matter for it, not a promise that it already does.
Mobility · aerospace
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.
Headline result
A measured cost law projected to about 93 logical qubits; a projection, not a measurement
Projection
Flow simulation is one of the largest compute bills in aerospace and automotive design. Buyers need to know when quantum could matter for it, not a promise that it already does.
We built a solver for the linear transport step of a flow simulation, measured how its cost grows, and placed the problem sizes and logical-qubit counts at which it is worth testing against the classical solver. The same methods run on superconducting, neutral-atom, trapped-ion and photonic machines.
A measured cost law projected to about 93 logical qubits; a projection, not a measurement
The roadmap now has a planning point in hardware terms, about 93 logical qubits, projected from a measured cost law. Meanwhile the same methods already run on seven platforms across four hardware families.
Decision it enabled
Know when to plan for it
Instead of: Open-ended vendor timelines
Verified by · Projection from a cost law we measured; platform reach is a device result.
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We tell you which option wins, and whether quantum is the reason.