Updated workflow connects high-level modeling and NVIDIA CUDA-Q execution to shorten iteration cycles in hybrid HPC and quantum environments

Productivity – An accelerated end-to-end path from high-level quantum modeling in Classiq, to hybrid execution using NVIDIA CUDA-Q. This will accelerate the path to value for customers of all types.

Performance – A workflow from circuit synthesis through to completed execution that previously took 67 minutes, completed in 2.5 minutes.

Accessibility – The updated integration is available through the Classiq platform’s development studio using a terminal command.

SAN JOSE, Calif., March 16, 2026 (GLOBE NEWSWIRE) -- Classiq, the leading quantum computing software company, today announced a demonstration of the integration between the Classiq platform and NVIDIA CUDA-Q that accelerates the workflow from high-level, AI-assisted quantum modeling through execution in hybrid quantum-classical environments, improving runtime and iteration speed for quantum research and development teams.

The updated integration reduces friction between algorithm design, rapid iteration and execution across heterogeneous compute resources, including GPUs, simulators and emerging quantum hardware. The work helps teams shorten iteration loops, a requirement for testing, benchmarking and refining hybrid approaches as high-performance computing environments evolve.

Hybrid quantum-classical computing plays a central role in how organizations evaluate and operationalize quantum-ready methods, especially as quantum workflows increasingly rely on classical acceleration for simulation, preprocessing, optimization loops and orchestration. By tightening the connection between modeling, compilation and execution, Classiq’s integration of CUDA-Q aims to help researchers and developers move faster from intent to runnable experiments and back again.

Tests were done on a financial options-pricing benchmark using IQAE (Iterative Quantum Amplitude Estimation) available through the Classiq platform. The benchmark was implemented with the updated Classiq integration and executed via CUDA-Q. Circuit synthesis and completed execution of a 31 qubit circuit was reduced from 67 minutes to 2.5 minutes using a single NVIDIA A100 GPU.

The updated integration leverages NVIDIA AI infrastructure to achieve massive parallelization of quantum simulation execution. This enables the exploration of large and complex quantum circuits, helping to ground assumptions regarding quantum scale and quantum algorithms and paving the way for practical quantum utility at scale on emerging quantum hardware.

“Practical quantum R&D requires iteration loops that are fast, repeatable and connected to execution,” said Nir Minerbi, co-founder and CEO of Classiq. “This integration with NVIDIA CUDA-Q is designed to help teams move from high-level intent to running experiments faster, so they can test ideas, compare approaches and build toward production-ready hybrid workflows.”

“NVIDIA CUDA-Q is designed to help developers build and run hybrid quantum-classical applications across today’s accelerated computing environments and emerging quantum systems,” said Sam Stanwyck, Director of Quantum Product at NVIDIA. “Classiq’s integration of CUDA-Q allows teams to shorten iteration cycles, test ideas more quickly, and evaluate quantum-ready methods in the context of modern HPC pipelines.”

About Classiq

‍Classiq is the leading quantum computing software company, providing the technology that makes it practical for enterprises and researchers to access and harness quantum computing. Classiq’s platform transforms high-level functional models into optimized, hardware-ready quantum circuits automatically. This enables teams to develop algorithms faster, optimize them for cost and performance, and make quantum applications usable sooner, without deep hardware expertise.

Through partnerships with global leaders in quantum cloud computing, including major hyperscalers and hardware providers, Classiq ensures that enterprise customers can design once and deploy anywhere. Its synthesis technology and memory optimization tools allow organizations to produce scalable, efficient quantum code that accelerates research and reduces execution cost.

Classiq, a Fast Company ‘Next Big Thing in Tech 2025’ award winner, backed by leading global investors, is the global category leader in quantum software and is at the forefront of enabling quantum computing applications. Follow Classiq on LinkedIn, X or YouTube, visit the Slack community, GitHub repository and www.classiq.io to learn more.

Media Contact:

‍Rainier Communications on behalf of Classiq

Michelle Allard McMahon

[email protected]

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Source: Classiq Technologies LTD