CUDA-Q

This open-source platform orchestrates the hardware and software needed to run useful, large-scale quantum computing applications. Its hybrid programming model allows computation on GPU, CPU, and QPU resources in tandem from within a single quantum program. The platform is QPU-agnostic, seamlessly integrating with all QPUs and qubit modalities, and offers GPU-accelerated simulations when hardware is unavailable. It extends simulation tools for large-scale, error-corrected quantum supercomputing.

Key benefits include:

• Productive: Streamlines hybrid quantum-classical development with a unified programming model.
• Future Proof: Enables hybrid application development at scale for future accelerated quantum supercomputers and is QPU agnostic.
• High Performance: Achieves up to 2500X speedups for large-scale simulations on GPUs with best-in-class compiler and runtime tools.
• Open Platform: Provides interoperability with AI and HPC workflows.
• Quantum Hardware Design: Offers capabilities to design and simulate quantum systems.
• AI for Quantum: Accelerates high-performance AI workflows for quantum applications.

The platform is built for performance, enabling straightforward execution on diverse quantum processors, simulated or physical, leveraging cuQuantum-accelerated backends or partner QPUs. It demonstrates significant speedups over CPU and other frameworks, scaling algorithms using multiple GPUs.