Insider Brief
- Quobly and QPerfect have released a major upgrade to their quantum emulator QLEO, adding GPU acceleration and full NVIDIA CUDA-Q compatibility.
- The new version uses QPerfect’s MIMIQ engine and NVIDIA’s cuQuantum SDK to deliver over 100× faster quantum circuit simulation compared to CPU-only systems.
- QLEO is now available on OVHcloud’s Quantum Platform and can also be installed locally, broadening access for researchers and developers.
PRESS RELEASE — Quobly, a pioneer in quantum microelectronics, and QPerfect, the emulation and control specialist for neutral atom systems, today jointly announced a major upgrade to their quantum emulator, QLEO (Quobly Logical Emulator Online). The launch takes place during the Supercomputing Conference (SC25), underscoring the global collaboration and European excellence driving the future of hybrid quantum computing.
Powered by QPerfect’s MIMIQ engine, this second-generation release introduces GPU acceleration and full NVIDIA CUDA-Q compatibility, enabling developers, researchers, and industry partners to simulate quantum algorithms at unprecedented speed and scale. With this upgrade, QLEO delivers faster, larger-scale quantum simulation on NVIDIA accelerated computing, evolves into a more accessible and powerful platform for the quantum community, and marks an essential milestone in Quobly’s industrialization roadmap toward an operational quantum computer
A leap forward in quantum emulation
The upgraded QLEO integrates a powerful GPU-accelerated engine leveraging the NVIDIA cuQuantum SDK, unlocking massive performance gains for quantum simulation. This update brings native CUDA-Q support, allowing developers to write quantum circuits in CUDA-Q and run them directly on QLEO without code changes. By utilizing NVIDIA accelerated computing, the upgrade significantly broadens accessibility, giving the QLEO community an industry-leading toolset to explore quantum algorithms.
A powerful upgrade for developers and researchers
The upgraded QLEO, powered by QPerfect’s robust MIMIQ engine, delivers a seamless and reliable simulation environment tailored to the needs of the quantum community. By leveraging NVIDIA accelerated computing and the cuQuantum SDK, QLEO achieves over 100x speedups compared to CPU-only simulation. This new GPU backend not only unlocks massive performance gains but also enables users to design, test, and rapidly iterate on their algorithms with the speed and flexibility of an industry-leading HPC platform. Thanks to direct CUDA-Q integration, developers can design circuits in CUDA-Q and run them directly on QLEO – without code changes. This dramatically simplifies the development of hybrid quantum-classical applications, allowing quantum kernels – simulated on either GPU or CPU backends – to be seamlessly integrated within C++ or Python workflows, ensuring smooth adoption by both industrial and academic users.
Seamless access to NVIDIA infrastructure
With CUDA-Q and cuQuantum integration, QLEO can take full advantage of NVIDIA accelerated computing already deployed in leading data centers and cloud platforms worldwide. This ensures that advanced quantum simulation is not only faster but also broadly available to developers and researchers, whether on large-scale infrastructure or personal machines.
Why this matters for industry and research
Quantum circuit simulation is a cornerstone for advancing quantum algorithm development. CPU-only approaches quickly hit performance limits; GPU acceleration changes the equation. The upgraded QLEO addresses these challenges, enabling larger-scale simulations and accelerating innovation in areas such as quantum chemistry, combinatorial optimization, materials discovery, quantitative finance, pharmaceutical development, and artificial intelligence.
“By integrating GPU acceleration and full CUDA-Q compatibility, we are empowering our community to explore quantum-classical workflows at unprecedented scale and speed, a key step toward bridging emulation, cloud access, and future hardware. This aligns perfectly with Quobly’s industrialization strategy, shortening the path from emulation to a fully operational quantum machine”, said Maud Vinet, CEO and co-founder of Quobly.
“With native CUDA-Q support, QLEO now provides a direct on-ramp to NVIDIA GPU infrastructure, empowering our community to accelerate their hybrid quantum-classical workflows”, said Guido Masella, CTO & co-founder of Qperfect. “By enabling GPU acceleration, users can now run quantum simulations an order of magnitude faster on GPU than on CPU, all while leveraging the advanced features and optimizations of the MIMIQ backend”.
Availability
The new generation of QLEO is already operational and available to users on OVHcloud Quantum Platform. It can also be installed locally on a personal computer via a simple pip install command
