NVIDIA has announced the integration of Quantum Rings’ quantum circuit simulation technology into its CUDA-Q platform, bringing GPU-accelerated quantum simulations to a global base of developers, researchers, and enterprises. The integration allows users to run increasingly complex quantum circuits with significantly reduced simulation times, whether on consumer-grade GPUs or high-performance computing (HPC) clusters.
Quantum Rings’ technology is now a standard component within CUDA-Q, NVIDIA’s open-source platform designed to bridge quantum and classical computing. The partnership aims to accelerate quantum algorithm development by providing rapid prototyping and validation capabilities for users working on next-generation quantum applications. The collaboration combines Quantum Rings’ scalable simulation engines with NVIDIA’s leadership in GPU-accelerated computing to help advance research in areas such as quantum chemistry, optimization, and machine learning.
With this integration, developers can leverage CUDA-Q’s flexible programming model to experiment with hybrid quantum-classical workflows while taking advantage of Quantum Rings’ ability to simulate large quantum circuits. Both companies emphasized that this move supports faster and more cost-effective iterations of quantum algorithms, helping prepare the industry for the eventual transition to large-scale fault-tolerant quantum systems.
Background on Quantum Rings:
Quantum Rings, headquartered in Austin, Texas, specializes in high-performance quantum circuit simulation software for quantum algorithm development and validation. The company is led by CEO Bob Wold, a veteran in high-performance computing and quantum software. Quantum Rings’ core technology focuses on simulating large quantum circuits efficiently on classical hardware, providing tools for industries exploring quantum computing applications such as materials science, cryptography, and AI.
NVIDIA’s Approach to Quantum Computing:
NVIDIA has positioned CUDA-Q as a hybrid quantum-classical platform, enabling developers to create applications that span GPUs, CPUs, and quantum processors. CUDA-Q supports major quantum frameworks and allows seamless execution of quantum simulations using NVIDIA’s accelerated computing stack. By integrating Quantum Rings into CUDA-Q, NVIDIA aims to make quantum simulations more accessible to a broader range of users, from academia to enterprise R&D teams.
Key Points:
• Quantum Rings’ quantum circuit simulation is now integrated into NVIDIA’s CUDA-Q platform.
• The integration enables faster, scalable simulations on GPUs and HPC clusters.
• CUDA-Q is NVIDIA’s open-source hybrid quantum-classical development platform.
• Users can now simulate larger and more complex quantum circuits with reduced time-to-solution.
• Supports rapid iteration for quantum algorithm development in preparation for fault-tolerant quantum hardware.
“Advancing the application of quantum computing requires faster, more cost-effective iteration and experimentation,” said Bob Wold, CEO of Quantum Rings. “With Quantum Rings, now available through CUDA-Q, developers can simulate and refine larger and more complex quantum algorithms at unprecedented speed using GPUs—pushing the limits of quantum research further in preparation for larger-scale fault-tolerant quantum hardware.”
