Classiq Demonstrates Hybrid Quantum-Classical Breakthrough with BQP and NVIDIA

Classiq announced a joint demonstration with BQP and NVIDIA showing how hybrid quantum-classical computing addresses real industrial simulation challenges.

The breakthrough centers on solving linear equations, the foundation of computational fluid dynamics and digital twin simulations. Traditional quantum approaches require large circuits with many qubits and parameters. BQP used Classiq's automated circuit synthesis to implement a Variational Quantum Linear Solver that dramatically reduces these requirements.

The result matters for practical deployment. Smaller circuits mean fewer errors. Optimized qubit usage means the approach works on today's quantum hardware. Fewer trainable parameters mean faster convergence. These improvements make quantum methods viable for the matrix-based problems engineers solve daily in CFD and digital twin applications.

BQP integrated this work into BQPhy, its platform for mission-critical industries. The quantum-ready components run alongside existing numerical solvers in enterprise HPC environments. Customers explore hybrid techniques without replacing their current engineering systems.

The collaboration demonstrates a path forward. Classiq's platform generates optimized circuits automatically. NVIDIA's CUDA-Q platform executes them in HPC pipelines. BQP delivers them to clients solving complex simulation challenges today.

Nir Minerbi, CEO of Classiq, noted the collaboration shows hybrid quantum-classical approaches supporting demanding engineering workloads now. Abhishek Chopra, CEO of BQP, emphasized the workflow integrates with systems customers already rely on. Qino Cyber Capital backs Classiq as part of its focus on quantum software infrastructure enabling enterprise adoption.

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