Classiq has announced a historic integration with NVIDIA CUDA-Q, which represents a significant change in the pace of quantum research and development. The partnership, which was announced on 2026, shows how the workflow of hybrid quantum-classical applications can be drastically accelerated, with iteration cycles that previously took more than an hour being reduced to a few minutes.
A Breakthrough in Performance
A startling performance benchmark forms the basis of the announcement. The revised integration produced revolutionary results when tested on a benchmark for financial options pricing, notably employing Iterative Quantum Amplitude Estimation (IQAE). Using a single NVIDIA A100 GPU, a 31-qubit circuit that previously took 67 minutes to synthesize and execute was finished in just 2.5 minutes.
The strengthening of the link between high-level modeling and execution is responsible for this performance improvement. The platform offers huge parallelization of quantum simulation execution by leveraging NVIDIA’s AI infrastructure, enabling researchers to investigate large, complicated circuits that were previously too time-consuming to efficiently iterate upon.
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Bridging the Gap Between Intent and Execution
The goal of the new approach is to lessen the “friction” that has historically existed between the design of algorithms and their actual implementation. Hybrid quantum-classical computing has become essential to how organizations assess and implement quantum-ready techniques in the rapidly changing field of High-Performance Computing (HPC). For activities like these, these workflows depend more and more on classical acceleration.
- Preprocessing and orchestration.
- Optimization loops.
- Simulation and benchmarking.
As a bridge, Classiq’s technology automatically converts high-level functional models into hardware-ready, optimized quantum circuits. Teams may transition from “high-level intent to running experiments faster” because to the connection with CUDA-Q, which enables this process to take place in a unified environment.
Leadership Perspectives
For near-term quantum R&D, industry experts from both firms emphasized that speed is the most important issue.
Nir Minerbi, co-founder and CEO of Classiq, stated that “fast, repeatable, and connected to execution iteration loops are necessary for practical quantum R&D.” He pointed out that the integration is made especially to assist teams in testing concepts and contrasting various strategies as they develop hybrid workflows that are suitable for production.
NVIDIA CUDA-Q is designed to assist developers in running applications across the accelerated computing environments of today and the emerging quantum systems of tomorrow, according to Sam Stanwyck, Director of Quantum Product at NVIDIA. He emphasized that the evaluation of quantum-ready techniques within the framework of contemporary HPC pipelines is made possible by Classiq’s integration.
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Accessibility and Practical Utility
Accessibility is a crucial aspect of this upgrade, even though the performance improvements are the main focus. A straightforward terminal command can initiate the integration, which is now accessible through the Classiq platform’s development studio. The goal of this user-friendliness is to speed up the “path to value” for clients, including academic teams and enterprise researchers.
Organizations may create scalable, effective quantum code without the need for in-depth, low-level hardware knowledge with Classiq’s synthesis technology and memory optimization tools. Enterprise clients can make use of a variety of compute resources, such as GPUs, simulators, and upcoming quantum gear, with this “design once, deploy anywhere” attitude.
The Path Forward for Classiq
After several major achievements, Tel Aviv-based firm made this announcement. In 2026, Classiq delivered Version 1.0 of its Quantum Software Engineering Platform, a huge industry milestone. Further expanding the variety of hardware backends accessible to its users, the business recently announced a strategic relationship with C12 to expedite access to spin qubit quantum computing.
As the recipient of the Fast Company “Next Big Thing in Tech 2025” award, Classiq is still at the forefront of the quantum software market. To achieve practical quantum utility at scale, the company’s capacity to ground assumptions regarding quantum scale through enormous parallelization is considered a crucial step.
The message is obvious to researchers and developers: the days of having to wait more than an hour for a single circuit iteration are coming to an end. The quantum community is now able to test, innovate, and iterate at speeds previously only possible for classical computing by utilizing the combined capability of high-level modeling and GPU-accelerated execution.
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