Scaling hybrid workloads with NVIDIA CUDA-Q is enabling teams across the quantum ecosystem to explore real-world impact using GPU-accelerated simulation. 🚀
⚡ Aegiq and
@Quantum_Motion are advancing quantum chemistry workflows with CUDA-Q.
⚡ Classiq is drawing on CUDA-Q to explore new quantum applications in finance.
⚡ FirstQFM has demonstrated quantum foundation models on the Leonardo supercomputer.
⚡ Eclipse Qrisp (pioneered by
@Fraunhofer FOKUS) and
@Qilimanjaro are powering their work with CUDA-Q.
⚡ qBraid now serves as a CUDA-Q target, expanding access to a broad set of QPU providers.
⚡ QCentroid is building QuantumOps workflows on CUDA-Q, driving more efficient applications development.
⚡ Welinq is pairing its distributed quantum compiler with CUDA-Q for GPU-accelerated circuit verification.
The path to useful quantum computing is hybrid—powered by accelerated simulation. Learn more:
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