Quobly and QPerfect jointly announced a significant upgrade to their quantum emulator, QLEO (Quobly Logical Emulator Online), delivering accelerated simulation capabilities for hybrid quantum computing. The second-generation release, unveiled at the Supercomputing Conference (SC25), integrates QPerfect’s MIMIQ engine with full NVIDIA CUDA-Q compatibility and leverages the NVIDIA cuQuantum SDK. This GPU acceleration reportedly achieves over 100x speedups compared to CPU-only simulation, enabling developers and researchers to design, test, and iterate on quantum algorithms at unprecedented scale and with seamless integration into existing C++ or Python workflows. This advancement marks a key milestone in Quobly’s roadmap toward operational quantum computing.
QLEO Upgrade: GPU Acceleration & CUDA-Q Compatibility
Quobly and QPerfect have announced a significant upgrade to their quantum emulator, QLEO, introducing GPU acceleration and full compatibility with NVIDIA’s CUDA-Q. This integration leverages the NVIDIA cuQuantum SDK, resulting in over 100x speedups in quantum simulation compared to CPU-only methods. The upgrade broadens accessibility for the quantum community, providing an industry-leading toolset for exploring quantum algorithms and significantly reducing simulation times for complex problems.
The key to this performance leap is native CUDA-Q support. Developers can now write quantum circuits in CUDA-Q and run them directly on QLEO without code modifications. This streamlines hybrid quantum-classical application development, allowing seamless integration of quantum kernels within existing C++ or Python workflows. Direct access to NVIDIA infrastructure, available through platforms like OVHcloud, further expands the reach and usability of the upgraded QLEO.
This advancement addresses a critical bottleneck in quantum computing: simulation speed. By overcoming the performance limits of CPU-based emulation, QLEO enables researchers and developers to tackle larger, more complex quantum algorithms. This has implications for diverse fields, including quantum chemistry, materials science, finance, and AI, accelerating the path toward practical quantum applications and bolstering Quobly’s industrialization roadmap.
Enhanced Performance with NVIDIA cuQuantum SDK
The upgraded QLEO quantum emulator, a collaboration between Quobly and QPerfect, now boasts significant performance gains thanks to integration with the NVIDIA cuQuantum SDK. This SDK unlocks GPU acceleration, allowing for quantum circuit simulations over 100x faster than CPU-only methods. Crucially, QLEO maintains full CUDA-Q compatibility, meaning developers can utilize existing CUDA-Q code without modification – streamlining the quantum algorithm development process and fostering wider adoption.
This leap in performance isn’t merely academic; it directly addresses a key bottleneck in quantum computing research. Previously, limited simulation speed restricted the scale of algorithms researchers could explore. By leveraging NVIDIA’s accelerated computing, QLEO expands accessibility, enabling larger, more complex simulations vital for advancements in fields like quantum chemistry, materials science, and financial modeling. This shift empowers researchers to push the boundaries of what’s possible with quantum algorithms.
The integration of cuQuantum and CUDA-Q isn’t just about speed; it’s about ecosystem accessibility. QLEO can now seamlessly utilize existing NVIDIA infrastructure—found in data centers and cloud platforms globally—lowering the barrier to entry for quantum computing exploration. This wider availability, combined with the simplified development workflow, positions QLEO as a powerful tool for both academic and industrial users striving to translate quantum potential into real-world applications.
Benefits for Developers and Researchers
The upgraded QLEO quantum emulator, a collaboration between Quobly and QPerfect, now boasts GPU acceleration and full NVIDIA CUDA-Q compatibility. This integration unlocks over 100x speed improvements in quantum simulation compared to CPU-only methods. Developers and researchers gain access to a powerful tool for designing, testing, and iterating on algorithms, leveraging the speed and flexibility of high-performance computing (HPC) infrastructure. This leap forward significantly reduces simulation times for complex quantum systems.
For developers, a key benefit is the seamless integration with existing workflows. QLEO’s native CUDA-Q support allows quantum circuits written in CUDA-Q to run directly on the emulator without code modifications. This simplifies the development of hybrid quantum-classical applications, enabling easy integration of quantum kernels into C++ or Python-based projects. This compatibility lowers the barrier to entry and encourages broader adoption of quantum computing techniques within existing software ecosystems.
Researchers benefit from expanded scalability and accessibility. By utilizing NVIDIA’s cuQuantum SDK and readily available GPU infrastructure—including cloud platforms like OVHcloud—QLEO allows for larger-scale simulations than previously possible. This broadened access is crucial for advancing research in fields like quantum chemistry, materials discovery, and financial modeling, accelerating innovation and potentially unlocking new scientific breakthroughs.
Expanding Access and Industrial Applications
Quobly and QPerfect have launched an upgraded quantum emulator, QLEO, now boasting GPU acceleration and full compatibility with NVIDIA’s CUDA-Q. This integration unlocks a significant performance boost—over 100x faster simulations compared to CPU-only methods— enabling researchers and developers to explore larger, more complex quantum algorithms. Crucially, QLEO allows developers to write in CUDA-Q without code modifications, streamlining hybrid quantum-classical workflows and accelerating the path toward practical quantum applications.
The expanded capabilities of QLEO directly address a major bottleneck in quantum computing development: simulation speed. By leveraging NVIDIA’s cuQuantum SDK and readily available GPU infrastructure—including cloud platforms like OVHcloud—QLEO broadens accessibility to advanced quantum simulation. This isn’t just about faster processing; it’s about empowering a wider community to contribute to innovation in fields like materials science, finance, and artificial intelligence, pushing the boundaries of what’s computationally possible.
This advancement signifies a critical step toward industrial-scale quantum systems. QLEO’s streamlined development process—using familiar CUDA-Q—and its ability to run on existing hardware dramatically lowers the barrier to entry. Quobly and QPerfect’s collaboration highlights a growing trend of focusing on the software and emulation layers, which are vital for validating algorithms and building the necessary tools before fully functional quantum hardware becomes widely available.
