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#artificial intelligence Preprint Sep 2026

Quantum Reinforcement Learning for Cost and Delay Tradeoffs in Quantum Cloud Orchestration

Quantum cloud computing, delivered through the quantum-as-a-service (QaaS) model, provides access to quantum computing resources. However, applying uniform time-based pricing across fundamentally heterogeneous quantum resources significantly complicates task orchestration, particularly when addressing the tradeoff betw...

An N. H. Phan, Dang van Huynh, Muhammad Usman et al. · 0 citations
Conference Open access Jul 2026

QCOEM: Quantum Cloud Orchestration with Evolutionary Multi-Objective Optimization

The QCOEM framework can deliver stable, high-fidelity execution and lightweight resource management for quantum cloud computing and shows zero task rescheduling and about 30% higher mean fidelity than noise-agnostic heuristics, while maintaining bounded scheduling overhead.

Tam N. Pham, H. T. Nguyen, Quan Le-Trung · 0 citations

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