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Classiq and BQP Demonstrate Hybrid Quantum Workflow for Scalable CFD Simulation on NVIDIA CUDA-Q

Quantum Computing Report
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Classiq, BQP, and NVIDIA demonstrated a hybrid quantum-classical workflow for scalable CFD simulations, integrating quantum algorithms with high-performance computing (HPC) pipelines. The collaboration leverages Classiq’s automated circuit synthesis to optimize BQP’s Variational Quantum Linear Solver (VQLS), reducing qubit requirements and trainable parameters for matrix-based CFD problems. This advancement improves scaling for digital twin and engineering workflows, making hybrid quantum methods more viable for production environments. BQP has already deployed these VQLS techniques in client offerings, ensuring compatibility with existing HPC numerical methods and workflows. NVIDIA CUDA-Q serves as the execution platform, enabling seamless integration of quantum-enhanced simulations into industrial and research HPC pipelines.
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Classiq and BQP Demonstrate Hybrid Quantum Workflow for Scalable CFD Simulation on NVIDIA CUDA-Q

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Classiq and BQP Demonstrate Hybrid Quantum Workflow for Scalable CFD Simulation on NVIDIA CUDA-Q 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 Mohamed Abdel-Kareem2025-11-19T15:02:03-08:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.

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Source: Quantum Computing Report