Qunova Computing Inc.

Startup
Summarized by Halo AI

Qunova Computing is a South Korean developer of hybrid quantum-classical algorithms for chemistry and materials science. Its software solutions aim to accelerate R&D by enabling industrial quantum advantage for pharmaceutical and engineering sectors.

Founded & HQ
Daejeon, South Korea
Company size
11-50 employees
Funding
~$10M
IP status
3 patents filed
Activity highlights
Made its hybrid quantum HI-VQE algorithm available to the IBM Quantum Network through IBM's Qiskit Functions Catalog.

Qunova Computing is a South Korean quantum software developer founded in 2021 that specializes in quantum algorithms for chemistry and materials science. The company developed a proprietary algorithm known as Handover Iterative Variational Quantum Eigensolver (HI-VQE), which is designed to improve computational efficiency in quantum chemistry. By combining classical supercomputing with the unique capabilities of quantum processors, Qunova aims to solve computationally intractable problems, such as analyzing complex iron-sulfur clusters, significantly faster than traditional methods. Its technology is intended to perform on Noisy Intermediate-Scale Quantum (NISQ) devices, offering a pathway toward achieving industrial quantum advantage.

The company provides its solutions through APIs and software platforms, serving industrial partners in sectors like pharmaceutical discovery, drug development, and materials engineering. By reducing the number of trials and experimental iterations required to identify materials or drug candidates with desired properties, Qunova helps its clients streamline R&D processes, save time, and lower development costs. The startup has attracted significant venture capital funding, including a $10 million Series A round, and collaborates with global research institutions to pilot hybrid quantum-classical applications in real-world industrial environments.

AI summary generated on Jun 22, 2026
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PN
Pratanphorn Nakliang
Technical Leader
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