This paper presents a new open-source distributed QAOA simulator for QUBO problems that includes variable allocation across QPUs, runtime optimizations, a Streamlit GUI, and demonstrations of consistent results with monolithic QAOA on benchmarks and a power unit commitment application.
A survey on applications of quantum computing for unit commitment,
2 Pith papers cite this work. Polarity classification is still indexing.
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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.
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A Distributed Quantum Approximate Optimization Algorithm Simulator for Engineering Design Optimization
This paper presents a new open-source distributed QAOA simulator for QUBO problems that includes variable allocation across QPUs, runtime optimizations, a Streamlit GUI, and demonstrations of consistent results with monolithic QAOA on benchmarks and a power unit commitment application.
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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.