Overview

This page offers an overview on all available solvers and algorithms on Luna that can be used to solve optimization problems. In many cases, the performance of different algorithms can vary strongly based on the specific use case or even its specific instance, so we aim to provide a diverse selection of solvers. This allows users to choose the optimal approach for their applications, rather than being stuck with a single method.

Each solver comes with a description of the algorithm and a comprehensive list of adjustable parameters. For each solver, we have a carefully chosen set of default parameters that should be usable in most scenarios, but we recommend to fine-tune these parameters to achieve optimal performance for each algorithm. This can be done either manually or by using our recommendation engine.

Vendors

MQLib

An implementation of dozens of heuristics for the Max-cut and QUBO combinatorial optimization problems.

DWave

D-Wave is the leader in the development and delivery of quantum computing systems, software, and services.

IBM

IBM Quantum leads the world in quantum computing. They are the creator of qiskit, a popular quantum computing development-kit.

Aqarios

Aqarios is a quantum software startup dedicated to making quantum technologies accessible for both enterprises and academia.

ZIB

The Zuse Institute Berlin (ZIB) provides fastest non-commercial solvers for mixed integer programming (MIP) and mixed integer nonlinear programming (MINLP).

Was this page helpful?