IonQ has announced a collaboration with Airbus to explore the potential application and benefits of quantum computing for aerospace services and passenger experiences.
The Quantum Aircraft Loading Optimization & Quantum Machine Learning project will be a 12-month project that culminates in the development of a prototype aircraft-loading quantum application, hands-on collaboration and coaching sessions for Airbus developers and engineers, and an exploration of future integrations of quantum computers for Airbus and its customers.
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In response to the ongoing supply chain crisis, aerospace companies are investing in the latest technologies to understand areas for improved efficiencies – cargo loading being one of them. Airbus’ partnership with IonQ is the first step toward developing algorithms based on quantum computers that can potentially lead to cost savings due to more optimised distribution of cargo on flights. Looking long-term, Airbus hopes to use quantum algorithms to improve other areas of air travel, including reduced fuel consumption, better aerodynamics, and optimised trajectories.
“As the aerospace industry looks for new ways to navigate the continued impact of the pandemic and overcome supply chain hurdles, we’re pleased to collaborate with Airbus and provide them with the quantum tools and expertise to develop improved aircraft-loading capabilities,” Peter Chapman, CEO and president of IonQ, said. “While it’s still early days in our yearlong project, the potential for quantum to reshape how airplane manufacturers balance passenger experience with aircraft production and performance is what excites our team most for what’s next in the aviation industry.”
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“Optimisation is critical to achieving aviation sustainability targets,” Amanda Simpson, vice president of research and technology at Airbus Americas, said. “We are very excited to explore IonQ’s capabilities to utilise the potential of quantum computing to achieve these targets.”
