HPC-vQPU separates a cloud control plane from an HPC execution plane, using topology- and calibration-aware snapshots bound at claim time to export device-faithful virtual QPUs on batch systems.
On the use of calibration data in error-aware compilation techniques for nisq devices,
2 Pith papers cite this work. Polarity classification is still indexing.
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A hybrid quantum framework decomposes CVRP into bounded-width knapsack subproblems, trains a reinforcement learning controller for Lagrangian multipliers, and uses a contextual bandit to adapt quantum hardware execution, yielding improved routing quality on standard test instances.
citing papers explorer
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HPC-vQPU: A Service-Export Architecture for Virtual QPUs on Batch-Scheduled HPC Systems
HPC-vQPU separates a cloud control plane from an HPC execution plane, using topology- and calibration-aware snapshots bound at claim time to export device-faithful virtual QPUs on batch systems.
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Qubit-Scalable CVRP via Lagrangian Knapsack Decomposition and Noise-Aware Quantum Execution
A hybrid quantum framework decomposes CVRP into bounded-width knapsack subproblems, trains a reinforcement learning controller for Lagrangian multipliers, and uses a contextual bandit to adapt quantum hardware execution, yielding improved routing quality on standard test instances.