ColibriTD Quantum provides the QUICK (Quantum Innovative Computing Kit), a hybrid quantum‑classical platform that accelerates large‑scale multiphysics PDE simulations using its H‑DES algorithm and hardware‑agnostic MPQP middleware. The cloud‑based solution integrates with existing engineering tools, allowing users to run workloads on CPUs, GPUs, or multiple quantum backends to reduce runtime, energy consumption, and cost while maintaining high fidelity.
Funding
$1.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Industrial engineers and researchers face growing bottlenecks when simulating large‑scale, multiphysics partial differential equations. Classical solvers require long runtimes, high energy consumption, and struggle to scale with increasing model complexity, limiting design speed and cost efficiency.
Solution
ColibriTD offers the Quantum Innovative Computing Kit (QUICK), a hybrid quantum‑classical platform that solves complex PDEs across classical, HPC, and quantum hardware. QUICK leverages the Hybrid Differential Equation Solver (H‑DES), which combines spectral methods with quantum‑enhanced optimization to accelerate convergence and improve accuracy. The MPQP layer provides hardware‑agnostic execution, allowing seamless deployment on CPUs, GPUs, or quantum processors from providers such as IBM, AWS, and Pasqal. Users can run, compare, and prototype hybrid workflows through a cloud‑based interface that integrates with existing simulation tools, delivering lower computational cost, reduced energy use, and preparation for future quantum advantage.
Target Audience
Primary customers are engineering teams, R&D departments, and simulation specialists in sectors such as semiconductor design, aerospace, automotive, and finance who require high‑fidelity multiphysics modeling.
Features
- H‑DES algorithm that tackles large‑scale, multiphysics PDEs using a hybrid quantum‑classical optimization approach
- MPQP middleware enabling hardware‑agnostic execution across classical CPUs, GPUs, and multiple quantum backends
- QUICK platform with a cloud‑based, plug‑in architecture that integrates into existing engineering simulation pipelines
- Support for industry‑relevant use cases such as fluid dynamics (inviscid Burgers’ equation) and solid mechanics (hypoelastic deformation)
- Linear scaling of performance with problem size, reducing runtime without sacrificing fidelity
- Energy‑efficient computation by selecting the most cost‑effective hardware for each workload