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qBraid Integrates NVIDIA CUDA-Q Remote Targets, Expands GPU Fleet, and Deploys Google Cloud AlphaEvolve for Error Correction

Quantum cloud platform qBraid has announced a series of infrastructure expansions and algorithmic breakthroughs aimed at consolidating its hybrid quantum-classical development pipeline. The updates establish qBraid as a remote cloud target within the NVIDIA CUDA-Q framework, expand qBraid Lab‘s on-demand graphics processing unit (GPU) hardware fleet, and deploy Google Cloud’s AlphaEvolve automated coding agent to resolve resource bottlenecks in fault-tolerant quantum chemistry simulations.