Korea Quantum Computing (KQC), a quantum computing R&D, quantum security and AI infrastructure operations company, said on June 30 it will introduce its next-generation quantum AI hybrid platform, KQC Qubiteer.

The company said Qubiteer is a hybrid quantum computing platform that processes tasks in a one-stop flow, from mathematical modelling to selecting an appropriate solver and running calculations, when users enter the problem they want to solve.

The company stressed that this makes it possible to use quantum optimisation without specialised skills, which it said had been a major hurdle to adoption.

Existing quantum computing solutions required users to mathematically formalise variables, objective functions and constraints, then convert them into models that solvers can understand, such as QUBO. The process required in-depth expertise in quantum modelling, and it was the biggest difficulty in applying real-world problems to solvers for staff in industrial settings.

Qubiteer analyses problems and conditions entered in natural language, structures them into a formalised problem definition, and immediately converts them into a mathematical model a solver can process. It also analyses the scale of the optimisation problem, the density of constraints and the variable structure to automatically recommend and run an efficient solution method.

KQC CEO Jun-young Kim (김준영) said Qubiteer is a platform aimed at expanding quantum optimisation into a tool that anyone with a real problem can use, rather than an area limited to a small number of experts. By automating the entire process from problem definition to solver execution, it will speed up industrial application of quantum computing and create practical innovation across a range of industries, he said.