Engineers have succeeded in modeling machines, such as Digital Twins, or setting up predictive models, such as Predictive Maintenance. Yet finite element methods or vast manifolds of interdependent time series of data probe conventional computer architectures, often pushing the limits too low to harness the true value of Big Data.
Our hybrid virtual quantum computing technology enables you to run FEM models with finer mashing, CFD computations with higher accuracy and complexity or use quantum machine learning (QML) to go one step further.
Novarion’s hybrid quantum computer, with its large memory nodes, has the right answer to the demands of modern engineering. Big Data is computed in different types of processors, each optimized for specific algorithms and data models.
Engineering with AI
The manufacturing industry is facing a new era of innovation. Novarion’s HPC and AI technologies can be used to optimise production processes, simulate digital twins and implement predictive maintenance. This enables companies to reduce costs and increase their efficiency.
- Digital twins for production lines: real-time simulations optimise processes and minimise downtimes.
- AI-supported quality assurance: defect detection through machine learning reduces rejects.
- Predictive maintenance: sensors and AI models predict machine faults and prevent breakdowns.
