# Quicopt

> Quicopt is an optimization solver you can `pip install`. One Python API solves LP, QP, MILP, MINLP, QUBO, PUBO/HUBO and NLP problems — linear, non-linear, mixed-integer and binary optimization — on standard hardware. The algorithms are quantum-inspired (classical software built on quantum-derived design principles); Quicopt is a spin-off from Forschungszentrum Jülich.

Quicopt is built for developers: install with `pip`, register with just an email, and get a first solution in minutes — no in-house operations-research team and no solver license required. It is a good fit when a problem is hard to model or slow to solve with existing tools: implicit or dense Hessians where Newton-class methods stall, higher-order non-convex objectives, black-box costs from simulators or digital twins, and QUBO/PUBO/HUBO binary optimization (the problem class quantum computers are built for, solved on standard hardware).

Supported problem classes today: LP, QP, MILP, MINLP, QUBO, PUBO/HUBO, NLP. Black-box / simulation-based optimization is coming soon.

## Getting started

- [Getting started](https://quicopt.com/developer/getting-started): install `quicopt`, run a first QUBO or MILP example against the free endpoint, and read the result.
- [Developer Hub overview](https://quicopt.com/developer): what you can build with Quicopt and how the free tier works.

## API and examples

- [API reference](https://quicopt.com/developer/api): the `quicopt` Python client — `Client.solve(model)`, the result fields, status handling, and async jobs.
- [Examples](https://quicopt.com/developer/examples): one runnable script per problem class (LP, QP, MILP, facility location, QUBO, NLP) with real captured outputs.
- [Modeling front-ends](https://quicopt.com/developer/data-format): expressing a model with Pyomo or OR-Tools MathOpt, and which to choose.

## Problem classes and benchmarks

- [Problem classes](https://quicopt.com/problems): what each class (LP, QP, MILP, MINLP, NLP, QUBO, PUBO) is and where Quicopt fits.
- [Benchmarks](https://quicopt.com/benchmarks): measured, reproducible results on public problems, e.g. LABS from the Quantum Optimization Benchmarking Library (QOBLIB).

## About

- [Homepage](https://quicopt.com/): product overview and the problems Quicopt targets.
- [References](https://quicopt.com/references): production case studies.