Classiq, a quantum software company, has announced a joint demonstration with BQP, a quantum-powered simulation startup, and NVIDIA showcasing an advancement in hybrid quantum-classical simulation for Computational Fluid Dynamics (CFD) and digital twin workloads. The collaboration integrates Classiq’s model-first quantum development platform, BQP’s implementation of the Variational Quantum Linear Solver (VQLS), and the NVIDIA CUDA-Q platform.
The VQLS implementation uses Classiq’s automated circuit synthesis to reduce circuit size, optimize qubit usage, and lower the number of trainable parameters compared to traditional quantum linear-solver formulations. These reductions are intended to improve the scaling behavior of matrix-based problems common in CFD and digital twin applications, strengthening the viability of hybrid methods within production engineering workflows.
BQP has already incorporated these VQLS-based techniques into offerings available to clients, ensuring that quantum-ready components align with the numerical methods and workflow requirements used across existing HPC systems. The use of NVIDIA CUDA-Q as the execution platform supports the integration of these simulation workflows into HPC pipelines used across industry and research.
Read the full announcement here and review BQP’s technical blog detailing the methodology and benchmarks here.
November 19, 2025
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