Quandela, a French start-up and a pioneer in quantum photonics, collaborates with EDF, a leading French energy company, to investigate the role of photonic computing in numerical simulations of hydroelectric dam deformation. The application of this ground-breaking technology could improve simulation accuracy, speed up calculations, and reduce energy consumption. In the long run, the goal is to generalize the simulation models to other types of industrial applications and to extend photonic calculation to Machine Learning, which is used in consumption forecasting in particular.
The EDF Group is known to be the world’s leading company that focuses on low-carbon energy, they are an integrated energy company that is active in all business lines: generation, transmission, distribution, trading, energy sales, and energy services. In 2018, EDF became one of the first French companies to invest in quantum technologies, with the goal of improving computing performance for energy management while also assisting French and European players.
Founded in 2017, Quandela, a pioneer in quantum photonics, is working on a full-fledged optical quantum computer. The company raised its first round of funding in 2020, followed by the second round of €15 million in 2021 from Omnes, Fonds Innovation Défense, and Quantonation, allowing it to significantly strengthen its R&D teams. This year, 2022, Quandela released Perceval, their very own photonic computer programming and simulation software; and signed a hosting partnership with OVHcloud to expand the user community. Today, the company offers a cybersecurity enhancement solution with a 2-qubit processor, and in the fall of 2022, it will make its first 6-qubit NISQ quantum computer available in the cloud.
The agreement between the two companies EDF and Quandela will mark a new phase. Today, Quandela’s teams include many expert theorists, engineers, and programmers – a unique model that enables us to meet the challenges of leading industrial players such as EDF.
Read more about the news here.