Building Useful Quantum Computers – ORCA Featured in Happy Warriors Episode

Summarize this article with:
JAN 12 2026As quantum computing matures, the core question is shifting from if the technology will matter to how it becomes useful in real-world settings. For ORCA, the answer lies in building photonic quantum systems that customers can deploy today, not decades from now. This is an approach grounded in our photonic quantum architecture.In a recent episode of Happy Warriors by Fifty Years, CEO Richard Murray discusses how ORCA is taking on this challenge and what it means to translate cutting-edge research into deployed computational systems.The discussion touches on how photonic architectures interface with modern compute environments, and how real deployments of ORCA PT Series photonic quantum systems help move quantum from scientific promise to something customers can actually use. It’s also a candid look at deep-tech realities of product discipline, uncertainty, focus and the human side of building frontier technology.WATCH THE VIDEODavid 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.
