AWS Quantum Technologies Blog Explore NVIDIA CUDA-Q Applications Hub and Academic Library with Amazon Braket Amazon Braket managed notebook instances (NBIs) now include NVIDIA CUDA-Q Applications Hub and CUDA-Q Academic Library launch notebooks, bringing peer-reviewed quantum research examples and structured learning resources directly into your Braket environment and making it simple to explore and develop hybrid quantum-classical applications. Braket NBIs support a range of Amazon Elastic Compute Cloud (Amazon EC2) instances so you can match your applications to the right compute resources. Deploy a low-cost general-purpose ml.t3.medium instance for light applications or the ml.p4de.24xlarge instance with 8 NVIDIA A100 GPUs and 640 GB of memory when working with GPU-accelerated applications that require parallel compute and high memory. In this blog post we walk you through the process of launching the new notebooks and enabling the CUDA-Q Application Hub and CUDA-Q Academic Library on an Amazon Braket NBI. What are the CUDA-Q Applications Hub and CUDA-Q Academic Library? NVIDIA CUDA-Q is an open-source platform for hybrid quantum-classical computing. It enables seamless integration of accelerated computing with quantum processors and supports scaling complex hybrid algorithms across simulators and real quantum hardware. NVIDIA maintains two curated repositories that make CUDA-Q capabilities accessible to researchers and students: - CUDA-Q Applications Hub: Industry-driven use cases including diffusion models for quantum compilation, molecule generation with transformers, and domain-specific research. - CUDA-Q Academic library: Structured learning resources covering quantum programming fundamentals, hybrid workflows, error correction, and HPC and AI integration techniques. Prerequisites To follow along, you need: - An AWS account. - Access to Amazon Braket in a supported AWS Region. - An Amazon Braket managed notebook instance. To create one, see Create an Amazon Braket notebook instance in the Amazon Braket Developer Guide. To access the CUDA-Q Applications Hub - Open your Amazon Braket managed notebook