BQP, Classiq, and NVIDIA today announced a joint demonstration showcasing a hybrid quantum-classical workflow designed to advance digital twin and computational fluid dynamics (CFD) simulations. The collaboration combines Classiq’s automated quantum circuit synthesis, BQP’s Variational Quantum Linear Solver (VQLS) implementation, and the NVIDIA CUDA-Q platform to enable quantum-ready simulation methods deployable within existing high-performance computing (HPC) environments.

The initiative highlights how quantum-enhanced numerical techniques can begin addressing scaling challenges in engineering workloads without requiring changes to established simulation pipelines. BQP, whose BQPhy platform delivers quantum-powered simulation capabilities for mission-critical industries, applied Classiq’s model-first design tools to generate optimized VQLS circuits tailored for real-world engineering constraints.

Using Classiq’s automated circuit synthesis, BQP produced VQLS circuits with reduced qubit counts, smaller circuit depth, and fewer trainable parameters compared to traditional quantum linear-solver approaches. These efficiencies directly support improved scaling behavior for matrix-based systems frequently encountered in CFD, structural analysis, and digital twin models. The full workflow executes on the NVIDIA CUDA-Q platform, offering seamless interoperability with GPU-accelerated HPC infrastructure widely used across industry and research.

“This collaboration demonstrates how hybrid quantum-classical approaches can be applied today to support demanding engineering workloads,”
- Nir Minerbi, CEO and co-founder of Classiq.

“By automatically generating optimized circuits and integrating them into existing simulation environments, teams like BQP can incorporate quantum-ready methods into the solutions they deliver.”

BQP has integrated these VQLS-based techniques into offerings available to clients today, ensuring compatibility with modern numerical solvers, data structures, and workflow requirements. The approach enables enterprises to evaluate quantum-ready simulation methodologies while maintaining confidence in their current HPC systems and engineering toolchains.

“Our focus is delivering practical, robust solutions to our clients’ most complex simulation challenges,”
- Abhishek Chopra, CEO of BQP.

“The hybrid workflow we developed with Classiq and executed through NVIDIA CUDA-Q strengthens both the flexibility and scalability of the tools we are deploying, while fitting naturally into the engineering systems our customers already rely on.”

BQP has published a detailed technical blog outlining the VQLS formulation, benchmarks, and methodology used in this collaboration. The full analysis is available at:
https://www.bqpsim.com/blogs/vqls-hpc-qc