Developer portal

Core concepts

Qtangl is designed to keep the model simple for developers while preserving the constraint-heavy nature of operational planning.

Optimization problems

Qtangl focuses on three families of problems: scheduling, routing, and allocation. Each job combines entities, constraints, and objectives to produce a plan that can be executed in the real world.

QUBO, lightly explained

Many optimization workflows can be reformulated as a quadratic unconstrained binary optimization model. In practice, that means Qtangl can express hard planning decisions in a form that solver backends can evaluate efficiently.

Hybrid execution

The platform uses classical preprocessing, quantum-assisted search, and classical post-processing as one workflow. That hybrid approach matters more than any single backend because it keeps the system practical for enterprise optimization use cases.

Hybrid execution diagram showing classical preprocessing, quantum-assisted search, and classical post-processing.