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

Mohamed Abdel-Kareem
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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. 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. 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.
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Quantum News · Media Library

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. [ Chulalongkorn University & Qunova Computing Strategic Framework ]Institutional LeadCoordinating & Partner EntitiesCore Workloads & Application Scope• Chulalongkorn University(Bangkok, Thailand)• Siam Quantum Square (SQ²)• Faculty of Medicine Siriraj Hospital• SCBX Public Company Limited• Cloud-first QPU application development• Clinical & pharmaceutical drug discovery• Financial portfolio & risk optimization• Qunova Computing(Daejeon, South Korea)• KAIST School of Quantum Science• Industrial Chemical & Material Partners• Hybrid quantum-classical chemistry solvers• NISQ-optimized error-mitigated algorithms• Cross-border talent exchange & workforce training 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 Mohamed Abdel-Kareem2026-09-21T09:26:30-07:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.

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quantum-algorithms
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Source: Quantum Computing Report

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