Chulalongkorn University and Qunova Computing Execute MoU to Advance Hybrid Quantum Algorithms for Industrial R&D

Thailand’s Chulalongkorn University has signed a three-year Memorandum of Understanding (MoU) with South Korean quantum software developer Qunova Computing. Coordinated via the university’s academic hub, Siam Quantum Square (SQ²), the agreement establishes a collaborative framework for joint R&D, researcher exchanges, and the applied deployment of hybrid quantum-classical algorithms targeting chemistry, material science, fluid dynamics, and financial modeling.

The alliance aligns with Thailand's national "cloud-first" quantum computing strategy, which prioritizes cloud-based access to international QPU backends over domestic hardware fabrication. Under the MoU, Qunova Computing and the Korea Advanced Institute of Science and Technology (KAIST) are deploying specialized hybrid algorithms—including Qunova's high-accuracy Variational Quantum Eigensolver (VQE) variants—to address computational bottlenecks in industrial R&D. The joint focus groups target specific domain applications, including molecular simulation for pharmaceutical lead optimization, computational fluid dynamics for industrial manufacturing, and portfolio optimization across regional bond markets.

The partnership expands Siam Quantum Square’s international ecosystem, complementing its existing institutional collaborations with AIST (G-QuAT), IBM Thailand, Western Digital, and SCB X. By integrating domain-specific problems from Thai industrial, financial, and clinical institutions with Qunova’s NISQ-tailored algorithms, the initiative aims to accelerate regional quantum adoption and establish a regional center for hybrid quantum-AI application development across Southeast Asia.

Review the news release on Chulalongkorn University News here and inspect algorithm details via Qunova Computing Press here.

September 21, 2026