From aircraft wings to high-performance race cars, modern mobility relies on precise physics-based simulation.
With QUICK, engineers accelerate design cycles and explore innovative configurations.
Reduce drag, maximize downforce and improve energy efficiency while meeting strict design constraints. H-DES acceleratesNavier-Stokes equations, enabling virtual testing of multiple wing, spoiler, and diffuser configurations.
Reduced simulation and prototyping time.
Improved fuel efficiency and vehicule performance.
Optimized design early in the development cycle.
Efficient heat transfer is critical for aircraft electronics, hybrid vehicle powertrains, and high-performance batteries. H-DES enables more detailed thermal and multiphysics simulations model internal and external heat flow, optimizing energy distribution and cooling strategies.
Lightweight yet robust structures. H-DES models deformation and vibrations, enabling engineers to anticipate stress points and test new configurations virtually.
Optimize engine performance and cooling in high-bypass aircraft engines or hybrid propulsion systems, where fluid-structure interactions are complex.
Join the leading research institutions and industrial pioneers utilizing QUICK for next-generation computing.
Aerospace and automotive industries rely on large scale simulations to design, test, and validate complex systems. These simulations involve multiple physical phenomena and require significant computational resources.
ColibriTD focuses on use cases where quantum computing can support multiphysics simulations and advanced engineering models.
Key use cases include:
Aerodynamic models are used to simulate airflow around vehicles and aircraft. These simulations rely on computational fluid dynamics and become more complex as precision increases.
Thermal management is critical for engines, batteries, and onboard systems. Engineers need to model heat transfer and energy distribution across complex architectures.
Structural and material simulations are used to analyze stress, deformation, and fatigue over time. These models are essential for safety and long term reliability.
Propulsion and fluid structure interaction involve coupled simulations between fluids and mechanical systems, which generate large and complex numerical problems.
ColibriTD develops hybrid quantum algorithms designed to explore these types of simulations and allow engineers to experiment with new computational approaches.
Engineering simulations in these industries rely on solving large systems of equations derived from physics models.
As models become more detailed, computation time and cost increase significantly. This limits the number of design iterations and the level of precision that can be achieved.
Hybrid quantum algorithms offer new ways to explore these mathematical problems by combining classical computation with quantum circuit evaluations.
ColibriTD provides tools such as Hybrid Differential Equation Solver (H-DES), Multi-Platform Quantum Programming (MPQP), and the Quantum Innovative Computing Kit (QUICK) platform to experiment with these approaches. Engineers can test quantum algorithms on real simulation problems and evaluate potential gains in computation time, cost, and model accuracy.
ColibriTD solutions are designed to integrate with existing simulation environments used in aerospace and automotive engineering.
The approach is to extend current workflows with quantum capabilities rather than replace existing tools.
Engineers can identify computational bottlenecks in simulations and test quantum algorithms on specific parts of the workflow.
With MPQP, teams can develop quantum programs and run them across multiple hardware backends without rewriting code. With QUICK and the QUICK-PDE Qiskit function, they can prototype and test hybrid algorithms on multiphysicsproblems.
This allows R&D teams to experiment with quantum computing while maintaining flexibility and control over their infrastructure.
