The acceleration of scientific discovery is capital for many companies, but quantum tools remain limited to very few entities. At ColibriTD, our mission is to bring these advantages to everyone with the help of our experienced quantum experts.
We believe that making quantum computing tools accessible to everyone can not only speed up scientific discovery, but to change the landscape of research and development as we know it.
Democratize access to quantum computing by providing a hardware-agnostic, end-to-end framework that enables enterprises to seamlessly develop, optimize, and deploy quantum-advantaged applications on classical-quantum hybrid infrastructures.
Runs across multiple quantum backends and integrates into classical pipelines.
Designed to plug into existing tools and workflows used by engineers.
Validated on physical quantum hardware with real engineering use-cases.
Combining spectral methods with quantum-classical optimization to solve the world’s most complex mathematical models
Designed to handle multiphysics problems by default without tradeoff between realism and speed.
Able to adress all types of engineering simulation problems. From semiconductors to finance.
Efficient scaling with number of variables and complexity of the problem.
The H-DES (Hybrid Differential Equation Solver) represents a landmark shift in computational science, cementing ColibriTD’s position as the developer of the world’s first PDE solver capable of running on utility-scale quantum hardware. By successfully solving a Partial Differential Equation (PDE) on the 156-qubit IBM Heron processor using over 50 physical qubits.
Expanding the QUICK ecosystem across every major industrial pillar. Our upcoming modules are designed for vertical-specific optimization.
Join the leading research institutions and industrial pioneers utilizing QUICK for next-generation computing.
QUICK stands for Quantum Innovative Computing Kit.
ColibriTD develops QUICK as a platform designed to experiment with quantum algorithms applied to scientific computing. The platform is powered by H-DES (Hybrid Differential Equation Solver), the hybrid quantum classical algorithm developed by ColibriTD.
H-DES belongs to the family of Variational Quantum Algorithms. It combines classical optimization with parameterized quantum circuits in order to explore complex mathematical structures that appear in engineering and physics simulations.
QUICK uses this algorithmic approach to address problems that appear in multiphysics models and scientific computing workflows.
Typical examples include simulations involving:
These problems rely on large mathematical systems, often based on partial differential equations. QUICK allows researchers and engineers to experiment with quantum approaches for solving these equations.
QUICK integrates with MPQP (Multi-Platform Quantum Programming), the open source Python library developed by ColibriTD. This allows users to deploy and run the same quantum program across multiple hardware backends without rewriting the code.
This architecture allows researchers and industrial teams to move from theoretical algorithm design to practical experiments on real scientific problems.
H-DES stands for Hybrid Differential Equation Solver and is a hybrid quantum classical algorithm developped by ColibriTD.
The algorithm is designed to explore complex mathematical problems that appear in scientific computing and engineering simulations. Many industrial models rely on large mathematical structures such as partial differential equations, large linear systems, or high dimensional numerical models.
H-DES combines classical optimization methods with parameterized quantum circuits in order to explore these problems using hybrid quantum workflows.
The algorithm acts as the core technology behind several ColibriTD solutions. For example, the QUICK (Quantum Innovative Computing Kit) platform uses H-DES to experiment with quantum approaches applied to multiphysics simulations such as fluid dynamics, electromagnetics, material deformation, or combustion models.
H-DES allows researchers and engineers to test quantum algorithms on real scientific problems while remaining compatible with existing computing workflows.
Because ColibriTD solutions are hardware agnostic, H-DES can be executed on simulators or on different quantum hardware infrastructures.
A VQA or Variational Quantum Algorithm is a hybrid algorithm that combines classical computation with quantum circuits.
In this approach, the quantum circuit contains adjustable parameters. A classical computer evaluates the result of the circuit and updates these parameters through an optimization loop.
The process works as an iterative cycle:
This hybrid model is widely used in quantum computing today because current quantum processors are still limited in size and stability.
VQA methods allow researchers to use quantum hardware while relying on classical optimization to control the computation. H-DES follows this approach and uses parameterized quantum circuits combined with classical optimization strategies.
H-DES is a hybrid quantum classical algorithm developed by ColibriTD. The technology is fully designed and developed in France by the ColibriTD research team.
One advantage of H-DES is its hybrid architecture. The algorithm combines classical optimization with parameterized quantum circuits. This makes it compatible with the current generation of quantum processors while still benefiting from classical computing resources.
Another advantage is its flexibility. H-DES can be adapted to different mathematical problems that appear in scientific computing and multiphysics simulations such as fluid dynamics, electromagnetics, material deformation, or combustion models.
The algorithm can also be integrated into existing scientific workflows. Engineers and researchers can experiment with H-DES within their simulation pipelines without replacing their current tools or software environments.
H-DES also benefits from the hardware agnostic architecture of the ColibriTD software stack. The same algorithm can run on simulators or across multiple quantum hardware platforms. This allows research teams and industrial partners to benchmark results and experiment with different quantum infrastructures.
Finally, because H-DES is developed internally by ColibriTD, the company controls the full algorithmic stack. This allows continuous improvements, close collaboration with industrial partners, and adaptation of the algorithm to real scientific computing problems.
