Hybrid quantum-classical optimization for unit commitment uses Pauli-Correlation Encoding to solve multi-period schedules with up to 312 binary variables while satisfying load, ramping, and reserve constraints.
A hybrid classical-quantum approach to highly constrained unit commitment problems
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Hybrid HSAC RL with quantum sampling proposes SCUC commitments, recovered via capped MILP on IEEE test cases, revealing coverage bottlenecks at larger scales.
This survey reviews QAI techniques for mission-critical applications, identifies gaps in meeting certification and timing requirements, and proposes a conceptual framework for quantum resource management and scheduling.
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Scaling Quantum Optimization for Unit Commitment via Pauli Correlation Encoding
Hybrid quantum-classical optimization for unit commitment uses Pauli-Correlation Encoding to solve multi-period schedules with up to 312 binary variables while satisfying load, ramping, and reserve constraints.
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Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features
Hybrid HSAC RL with quantum sampling proposes SCUC commitments, recovered via capped MILP on IEEE test cases, revealing coverage bottlenecks at larger scales.
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Quantum Artificial Intelligence for Mission-Critical Systems: Foundations, Architectural Elements, and Future Directions
This survey reviews QAI techniques for mission-critical applications, identifies gaps in meeting certification and timing requirements, and proposes a conceptual framework for quantum resource management and scheduling.