TuringQ Quantum-Inspired Hybrid Solver (QIH Solver) consists of a quantum-inspired optimization algorithm hybridized with several classical heuristics for complex combinatorial optimization problems. Through ingenious design, the TuringQ QIH Solver can automatically select appropriate algorithm parameters according to the characteristics of the problem and give a good enough solution in a short time.

In the era of noisy intermediate-scale quantum (NISQ), TuringQ QIH Solver provides an alternative for users willing to experience the advantages of quantum computing technology. With the maturity of hardware manufacturing technology, we are considering implementing core algorithms on quantum hardware. In this context, TuringQ QIH Solver may serve as a smooth transition to the era of quantum computing and help users gain more benefits from quantum computing technology.

TuringQ QIH Solver can be applied in transportation and logistics, job scheduling, financial technology, de novo drug design, and other fields where huge optimization problems demand fast solutions.