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Terra Quantum Develops Hybrid Quantum Computing Prototype for Evonik

fluid dynamics

Insider Brief

  • Terra Quantum AG supported Evonik in exploring how one of the world leaders in speciality chemicals could take advantage of quantum technologies.
  • Evonik is a global leader in specialty chemicals.
  • Terra Quantum’s hybrid quantum technology was applied to improve fluid mixing simulations and shape optimization for production parts.

PRESS RELEASE — Terra Quantum AG provided support to Evonik in exploring how one of the world leaders in speciality chemicals could take advantage of quantum technologies to unlock operational benefits. As quantum technology continues to develop and disrupt industries, organisations that adopt these technologies early will have the competitive edge both now and in the future.

Terra Quantum AG is a globally leading quantum technology company focused on providing an end-to-end technology platform delivering real commercial advantage to its customers already today.

The joint project focused on the simulation and design optimization of a T-shaped mixer, as a simplified stand-in for more complex manufacturing unit operations. These types of parts are commonly used in the chemicals manufacturing process, however their specific shape parameters need to be finely tuned and adjusted depending on the reaction they will be used for.

The current process of designing the optimal mixer involves a lot of  trial and error together with real and virtual prototyping. This results in long development times & high development costs. Terra Quantum has developed a software prototype for Evonik that exceeds the current performance for the simplified case of a T-mixer shape: “The tensor train approach we developed is useful for high-dimensional black box optimisation problems and works like a smart grid search. Specifically for the mixer shape optimisation, it approaches a superior cost function, faster in comparison to the existing Bayesian approach.” Explains Karan Pinto, Director of Growth at Terra Quantum. Shape optimization and Computational Fluid Dynamics (CFD) simulation, as Terra Quantum has now carried out for Evonik, are not only used in chemical production, but also in mechanical engineering, aerospace, automotive, material science and other industries.

“This simulation and optimization work is another significant development in the application of quantum computing to the chemical industry. The results already illustrate the enormous potential of quantum technology that we can expect to unfold in the decade ahead as it’s power to redefine performance will change all aspects of this industry,” says Markus Pflitsch, CEO and Chairman at Terra Quantum, summarizing the project with Evonik. He adds, “Our joint work with Evonik is also breaking new ground. The Tensor Networks and Machine Learning approaches are novel and have not been applied in this context before.”

That, he says, is also why the Terra Quantum research team has published three scientific papers on the subject following their work with Evonik on this use case.

Henrik Hahn, Evonik’s Chief Digital Officer, adds, “The cooperation with Terra Quantum has allowed us to understand the potential current and future benefit of Quantum Computing for a specific class of Evonik use cases. The software prototype that has now been developed is promising with not only faster but also better results. We are now exploring how we could work towards realizing the business benefits of these efforts for multiple use cases.” The Terra Quantum prototype is compatible with the computational fluid dynamics (CFD) software used by Evonik. Terra Quantum and Evonik are currently exploring potential joint next steps.

For more market insights, check out our latest quantum computing news here.

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Matt Swayne

With a several-decades long background in journalism and communications, Matt Swayne has worked as a science communicator for an R1 university for more than 12 years, specializing in translating high tech and deep tech for the general audience. He has served as a writer, editor and analyst at The Quantum Insider since its inception. In addition to his service as a science communicator, Matt also develops courses to improve the media and communications skills of scientists and has taught courses. [email protected]

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The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

Picture of Jake Vikoren

Jake Vikoren

Company Speaker

Picture of Deep Prasad

Deep Prasad

Company Speaker

Picture of Araceli Venegas

Araceli Venegas

Company Speaker

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