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This partnership marks a significant step toward practical industrial applications of hybrid quantum-classical algorithms in chemistry, materials science, and finance within Southeast Asia. By leveraging cloud-based access to international quantum processors rather than domestic hardware fabrication, the initiative aligns with regional strategies to accelerate adoption without waiting for full-scale fault-tolerant machines. The collaboration specifically targets solving computational bottlenecks using NISQ-tailored methods like Variational Quantum Eigensolver variants, bridging the gap between theoretical research and domain-specific R&D needs.
Chulalongkorn University and Qunova Computing Execute MoU to Advance Hybrid Quantum Algorithms for Industrial R&D
Chulalongkorn University and Qunova Computing have partnered to advance hybrid quantum algorithms for industrial R&D in Thailand. This collaboration, coordinated by Siam Quantum Square, focuses on applying quantum-classical algorithms to chemistry, material science, fluid dynamics, and financial modeling. The initiative aims to accelerate regional quantum adoption and establish Southeast Asia as a hub for hybrid quantum-AI application development. The post Chulalongkorn University and Qunova Computing Execute MoU to Advance Hybrid Quantum Algorithms for Industrial R&D appeared first on Quantum Computing Report.
Thailand’s Chulalongkorn University has signed a three-year Memorandum of Understanding (MoU) with South Korean quantum software developer Qunova Computing. Coordinated via…
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