Starting a pilot project usually begins with identifying a relevant use case.

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ColibriTD follows a structured approach:

• a first phase of around three months to analyze the problem and define a relevant use case and initial experimentation with hybrid quantum algorithms
• a go or no go decision for a second phase
• a second phase of around six months with deeper experimentation on real quantum hardware

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This approach allows companies to evaluate the potential of quantum computing before scaling further.

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Testing quantum algorithms on real problems requires both algorithmic expertise and an understanding of industrial constraints.

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ColibriTD works directly with engineers, researchers, and R&D teams to analyze problems and identify where quantum approaches can be tested.

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Through solutions such as Quantum Innovative Computing Kit (QUICK) (powered by our Hybrid Differential Equation Solver (H-DES) algorithm), and the QUICK-PDE Qiskit function, teams can prototype and evaluate quantum algorithms on their own use cases.

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Not all problems are suitable for quantum computing.

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ColibriTD works with organizations to analyze the mathematical structure of their problems and determine whether quantum approaches are relevant.

This includes identifying parts of the workflow that involve large numerical systems, complex simulations, or computational bottlenecks.

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The objective is to focus on problems where hybrid quantum algorithms can bring value.

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Integrating quantum computing into an R&D strategy requires evaluating its potential on real use cases.

ColibriTD supports decision makers and technical teams in this process by:

• identifying relevant applications
• testing quantum algorithms on existing workflows
• benchmarking results across different quantum infrastructures
• building a roadmap for future integration

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Because ColibriTD is hardware agnostic, companies can explore different quantum technologies while keeping flexibility on infrastructure choices.

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