Quantum Brilliance’s Qristal software supports NVIDIA’s CUDA Quantum Programming Model for Hybrid Quantum-Classical Computing.

Quantum Brilliance'S Qristal Software Supports Nvidia'S Cuda Quantum Programming Model For Hybrid Quantum-Classical Computing.

Quantum Brilliance, a quantum startup, has launched an upgraded version of its Qristal software, the first software supporting NVIDIA CUDA Quantum, NVIDIA’s open-source programming model. The latest version can now compile quantum programs coded in CUDA Quantum, another breakthrough in the progress of hybrid quantum-classical computing.

“The integration of NVIDIA CUDA Quantum within Qristal brings hybrid quantum computing with diamond-based quantum hardware one step closer to reality,” said Timothy Costa, Director of High-Performance Computing and Quantum Computing at NVIDIA. “As the leading full-stack development platform, CUDA Quantum enables dynamic workflows to seamlessly use quantum and GPU acceleration, which is essential to unlock the potential of quantum computing.”

Pat Scott, Software Lead at Quantum Brilliance

Quantum Brilliance is a venture-backed enterprise that specializes in quantum products and solutions. Since its establishment in 2019, the company has developed diamond quantum computers bolstered by software and applications. Its ultimate objective is to facilitate the widespread adoption of quantum technology, thereby empowering industries to leverage edge computing applications and next-generation supercomputers.

Quantum Brilliance‘s Qristal software is a comprehensive software package that allows users to write, compile, test, and simulate quantum and hybrid quantum-classical programs. This software has been regarded as a leading solution in the industry, providing a full-stack solution for quantum programming needs.

Enabling seamless integration of quantum and GPU acceleration to unlock the full potential of quantum computing

“This new version of Qristal is the first full-stack quantum software to support CUDA Quantum. Working together with NVIDIA, we have been able to place the powerful new CUDA Quantum framework at the heart of the quantum software landscape, right from the moment of its first release. The introduction of CUDA Quantum is a transformative step in the evolution of quantum computing, as it offers extensive tools for tightly integrating high-performance classical algorithms with cutting-edge quantum ones.”

Pat Scott, Software Lead at Quantum Brilliance

The CUDA Quantum programming model is a crucial tool in unlocking the full potential of quantum computing by allowing dynamic workflows to incorporate quantum and GPU acceleration seamlessly. Integrating Quantum Brilliance’s software with NVIDIA‘s CUDA Quantum will enable users to execute large-scale simulations of hybrid quantum-classical computers using a combination of quantum processors, classical CPUs, and GPUs.

This development is an essential step towards realizing the goal of hybrid quantum computing with diamond-based quantum hardware.

“By providing the capability in Qristal to compile quantum programs written in CUDA Quantum, we have made it possible to build quantum software that runs seamlessly across NVIDIA graphics processing units (GPUs), central processing units (CPUs) and quantum processing units (QPUs). Incorporating CUDA Quantum into Qristal also means users can run large-scale supercomputer simulations of future hybrid quantum-classical computers that simultaneously exploit quantum processors, classical CPUs and GPUs.”

Pat Scott, Software Lead at Quantum Brilliance

Quantum Brilliance’s Diamond-based Quantum Accelerators Set to revolutionize hybrid Quantum-Classical Computing.

Quantum Brilliance has developed diamond-based quantum accelerators specifically focusing on hybrid quantum-classical applications. These accelerators can operate at room temperature and can be easily miniaturized, making them suitable for deployment on a large scale in edge, cloud, and supercomputing applications.

Quantum Brilliance has established global partnerships across the Americas, EMEA, and the Asia Pacific regions to achieve this aim, collaborating with government bodies, supercomputing centers, research organizations, and various industries.