ORCA Computing and Toyota Tsusho Deploy First Quantum System to Enterprise Customer in Japan

JUN 16 2026ORCA announced the successful deployment of its PT Series photonic quantum computer to a major enterprise customer in Japan, supported by strategic partner Toyota Tsusho Corporation. Deployed in less than one week within a live enterprise environment, the system will advance hybrid quantum–AI applications across advanced science and engineering, logistics, manufacturing, optimization and generative AI workloads in the manufacturing sectors. This marks a major milestone in the ORCA and Toyota Tsusho partnership and the first installation and operation of an ORCA photonic quantum system within a private-sector enterprise. The quantum computing capabilities of the ORCA PT-2 system will be integrated into the cloud services which support global operations. By integrating directly into its production infrastructure, the enterprise customer is bringing photonic quantum computing into the enterprise IT stack, enabling hybrid quantum–AI workflows alongside existing high-performance computing (HPC) applications. Later this year, the system will be upgraded to ORCA’s next-generation PT-3 platform, delivering increased processing capability and deeper integration with classical compute environments.“Toyota Tsusho is proud to support the introduction of this quantum computing capability into the Japanese enterprise market,” said Mr. Norihito Ohigashi, the manager of Digital Infrastructure Department at Toyota Tsusho. “This collaboration reflects our commitment to enabling advanced technologies that will help shape the future of manufacturing, and intelligent infrastructure.”“This endeavor demonstrates how quickly quantum computing can move from concept to real-world operation,” said Richard Murray, PhD, Co-founder and Chief Executive Officer of ORCA Computing. “Installing ORCA’s PT-2 quantum system within an enterprise environment in under one week highlights the maturity of ORCA’s photonic quantum technology. Together with Toyota Tsusho, we are laying the foundation for commercial quantum advantage in industrial AI applications.” This announcement builds on ORCA Computing’s progress in delivering data-center-ready quantum systems and advancing hybrid quantum–classical integration across generative AI and enterprise environments. David Hall DPhilHead of DeliveryProf. Ian Walmsley is Chairman of the ORCA Computing Board and a leading figure in quantum optics, quantum memories and waveguide circuits. He is Provost of Imperial College, London, an Honorary Fellow at St Hugh's College, Oxford and a Fellow of the Royal Society, The Optical Society, the Institute of Physics and the American Physical Society. Previously, he was President of the Optical Society of America, Pro-Vice-Chancellor for Research and Innovation, Hooke Professor of Experimental Physics at the University of Oxford and Director of the NQIT (Networked Quantum Information Technologies) hub. Prof. Walmsley is recognised for developing the SPIDER technique for characterising ultra-fast laser pulses.Enhance renewable energy optimisation and accelerate the development of biofuels. Investigating molecular structures is an important pursuit in computational chemistry, especially in fields likes biofuel formulation, material innovation, and pharmaceutical development where research acceleration is critical. The specific problem considered here is significant across the energy industry, as molecule’s possible structures directly determine many of its physical and chemical traits. However, the vast array of possible configurations and high computational requirements make it difficult for traditional methods to find low-energy conformations for certain molecules. ORCA partnered has with bp to explore a hybrid quantum-classical approach using generative adversarial network (GAN) algorithms. This approach aims to generate low-energy conformations of small and medium size hydrocarbon molecules, offering a potential solution to the computational hurdles faced in molecular exploration.