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Explore NVIDIA CUDA-Q Applications Hub and Academic Library with Amazon Braket

Quantum Computing Blog



Amazon Braket managed notebook instances now include NVIDIA CUDA-Q Applications Hub and Academic Library, providing peer-reviewed quantum research examples and structured learning resources for hybrid quantum-classical application development.

  • CUDA-Q Applications Hub features industry-driven use cases including quantum compilation, molecular generation, and domain-specific research
  • CUDA-Q Academic Library offers structured learning paths covering quantum fundamentals, error correction, and GPU-accelerated algorithms
  • Braket NBIs support flexible EC2 instances from ml.t3.medium for light applications to ml.p4de.24xlarge with 8 NVIDIA A100 GPUs
  • Access notebooks via the CUDA-Q and Braket icon in the Launcher tab to explore examples and learning resources
  • Enables seamless integration of accelerated computing with quantum processors for scaling hybrid algorithms

Researchers and students can now access curated quantum computing resources directly within Amazon Braket, simplifying exploration and development of hybrid quantum-classical applications on AWS.



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