Classiq Integrates with NVIDIA CUDA-Q to Shorten Iteration Cycles for Quantum Teams
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Classiq has demonstrated an integration between its platform and NVIDIA CUDA-Q that accelerates quantum workflows, shortening iteration cycles for researchers and developers working in hybrid computing environments. The updated connection streamlines the process from high-level quantum modeling to completed execution, with a benchmark test revealing a reduction from 67 minutes to 2.5 minutes for a 31 qubit circuit using a single NVIDIA A100 GPU. This improvement addresses a critical need for rapid iteration in quantum research, particularly as organizations explore hybrid quantum-classical approaches. “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.” Classiq & NVIDIA CUDA-Q Accelerate Hybrid Quantum-Classical Workflows A workflow connecting quantum modeling with execution has seen a dramatic speed increase; a complex circuit previously requiring 67 minutes to complete now runs in just 2.5 minutes, according to recent demonstrations by Classiq and NVIDIA. This acceleration stems from a newly updated integration between the Classiq platform and NVIDIA CUDA-Q, designed to streamline hybrid quantum-classical workflows and reduce iteration times for research and development teams. The collaboration addresses a key challenge in quantum computing: the need for rapid experimentation and refinement of algorithms as high-performance computing environments continue to evolve, leveraging the power of GPUs for simulation and optimization. The integration allows for a more seamless transition from algorithm design to execution across diverse compute resources, including classical simulators and nascent quantum hardware. This parallelization of quantum simulation execution facilitates the exploration of larger, more complex circuits, enabling researchers to validate assumptions about quantum scalability and algorithm performance. The accessibility of this accelerated workflow is facilitated through the Classiq platform’s development studio, available via a simple terminal command. NVIDIA emphasizes the importance of this type of integration for broader adoption. “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.” Classiq’s platform automatically transforms high-level models into optimized quantum circuits, aiming to make quantum computing more practical for both enterprises and researchers.
Qubit Circuit Execution Reduced to 2.5 Minutes with A100 GPU The pursuit of practical quantum computing has long been hampered by the extensive time required to test and refine even moderately complex algorithms; previously, completing a full iteration cycle from circuit synthesis to execution could demand over an hour of computing time, significantly slowing research progress. Classiq, a quantum computing software company, recently demonstrated a substantial reduction in this timeframe, achieving complete execution of a 31-qubit circuit in just 2.5 minutes, a process that formerly took 67 minutes. The benchmark utilized a financial options-pricing model employing Iterative Quantum Amplitude Estimation, implemented within Classiq and executed via CUDA-Q on a single NVIDIA A100 GPU. This improvement isn’t simply about speed, but about enabling more rapid exploration of complex quantum circuits and algorithms. NVIDIA views this type of integration as crucial for broader adoption of quantum computing techniques. By tightening the connection between modeling, compilation, and execution, the collaboration aims to empower researchers and developers to move faster from initial concepts to runnable experiments, ultimately accelerating the path toward practical quantum utility at scale. 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. Sam Stanwyck, Director of Quantum Product at NVIDIA Source: https://www.globenewswire.com/news-release/2026/03/16/3256742/0/en/Classiq-Dramatically-Accelerates-Hybrid-Quantum-Application-Development-and-Execution-with-NVIDIA-CUDA-Q.html Tags: Quantum News There is so much happening right now in the field of technology, whether AI or the march of robots. Adrian is an expert on how technology can be transformative, especially frontier technologies. But Quantum occupies a special space. Quite literally a special space. A Hilbert space infact, haha! Here I try to provide some of the news that is considered breaking news in the Quantum Computing and Quantum tech space. Latest Posts by Quantum News: Infleqtion Enables Researchers to Work with Large-Scale Quantum Systems March 16, 2026 Quantum Delta NL Positions Netherlands in Three European Quantum Pilot Lines March 16, 2026 IQM Collaborates On Scalable, Fault-Tolerant Quantum Computing with NVIDIA and Zurich Instruments March 16, 2026