Qubit Studio

Qubit Studio lets data scientists model optimisation problems once and run them on classical solvers, quantum simulators and real quantum hardware side by side. Results are benchmarked automatically so teams can see where quantum adds value.

A workbench for hybrid quantum-classical optimisation.

QuantumComing soon

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Model once, run anywhere

Define routing, scheduling or portfolio problems in Python and compare classical, quantum-inspired and quantum runs in one view.

Features

Unified modelling

One problem definition for every backend.

Automatic benchmarks

Side-by-side quality, time and cost.

Multi-vendor hardware

Cloud access to several quantum providers.

What teams use it for

Delivery routing
Workforce scheduling
Portfolio optimisation

Last updated 22 October 2026

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