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Demo Shows Quantum-Classical Simulation for Digital Twin and CFD Workloads

Collaboration designed to enable quantum-ready simulation workflows made for high-performance computing (HPC) environments.

Demo Shows Quantum-Classical Simulation for Digital Twin and CFD Workloads
Source: NVIDIA
Circuit depth scaling for Classiq-generated circuits and circuits compiled using Qiskit across increasing matrix sizes. The results illustrate how different optimization strategies, including width-optimized and depth-optimized circuits generated through Classiq, behave relative to standard and optimized compilation settings in other toolchains.

By DE Editors  

November 25, 2025

Classiq, a developer of quantum computing software, reports a joint demonstration with BQP and NVIDIA that shows an advancement in hybrid quantum-classical simulation for digital twin and computational fluid dynamics (CFD) workloads. 

BQP, a quantum-powered simulation startup, accelerates digital twin workflows  with its platform, BQPhy. The collaboration integrates Classiq’s quantum development platform, BQP’s implementation of the Variational Quantum Linear Solver (VQLS) on BQPhy, and the NVIDIA CUDA-Q platform for hybrid quantum-classical computing to enable quantum-ready simulation workflows made for high-performance computing (HPC) environments.

Using Classiq’s automated circuit synthesis, BQP implemented a VQLS-based approach that reduces circuit size, optimizes qubit usage and lowers the number of trainable parameters. The reductions improve the scaling behavior of matrix-based problems often found in CFD and digital twin applications. The work leverages NVIDIA CUDA-Q as the execution platform, supporting integration into HPC pipelines used in industry.

“This collaboration demonstrates how hybrid quantum-classical approaches can be used today to support demanding engineering workloads,” says Nir Minerbi, CEO and co-founder of Classiq. “By generating optimized circuits automatically and integrating them into established simulation environments, we enable teams like BQP to incorporate quantum-ready methods directly into the solutions they deliver to customers.”

BQP has incorporated these VQLS-based techniques into its offerings, ensuring that quantum-ready components align with the numerical methods, solvers and workflow requirements used across digital twin, optimization and simulation environments. 

“Our focus is delivering practical and robust solutions to our clients’ most complex simulation challenges,” says Abhishek Chopra, CEO of BQP. “The hybrid workflow we developed with Classiq and executed through the NVIDIA CUDA-Q platform strengthens the flexibility and scalability of the tools we are deploying today, and it integrates naturally with the engineering systems our customers already rely on.”

BQP has published a technical blog covering the VQLS formulation, benchmarks and methodology. The analysis is available here.

Sources: Press materials received from the company and additional information gleaned from the company’s website.

 

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Related Topics

Simulate   CFD   Engineering Computing   News   Classiq   Computational Fluid Dynamics CFD   Digital Twins   NVIDIA   All topics
 

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