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.
Solving quadratic unconstrained binary optimization with divide-and-conquer and quantum algorithms.arXiv preprint arXiv:2101.07813, 2021
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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.