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This integration establishes a practical framework for automating the insertion of quantum circuits into classical HPC pipelines, specifically targeting enterprise workflows in materials discovery and generative modeling. By utilizing domain-specific AI agents to benchmark hybrid designs against classical baselines, the system provides an auditable methodology for determining when quantum acceleration offers tangible performance gains over traditional GPU simulation.

Sources coveringQuantum Computing Report, Quantum Zeitgeist

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QCentroid Integrates QuantumOps Platform with NVIDIA CUDA-Q for Enterprise Hybrid Application Workflows

Quantum Computing ReportSeptember 15, 20262 min read

QCentroid has integrated NVIDIA CUDA-Q into its QuantumOps platform, creating an enterprise hybrid application design framework. This new system automates the placement of quantum components within classical HPC software, allowing for the optimization of classical-quantum boundaries in AI, simulation, and generative modeling. Demonstrated on a cGAN for catalyst materials discovery, the platform evaluates various hybrid Generator designs against classical baselines, leveraging GPU-accelerated simulation and quantum processing units for performance assessment. The post QCentroid Integrates QuantumOps Platform with NVIDIA CUDA-Q for Enterprise Hybrid Application Workflows appeared first on Quantum Computing Report.

Quantum software and orchestration provider QCentroid has introduced an enterprise hybrid application design framework within its QuantumOps platform, integrating NVIDIA CUDA-Q to automate…

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