Solving QUBO on the Loihi 2 Neuromorphic Processor
<|reference_start|>Solving QUBO on the Loihi 2 Neuromorphic Processor: In this article, we describe an algorithm for solving Quadratic Unconstrained Binary Optimization problems on the Intel Loihi 2 neuromorphic processor. The solver is based on a hardware-aware fine-grained parallel simulated annealing algorithm developed for Intel's neuromorphic research chip Loihi 2. Preliminary results show that our approach can generate feasible solutions in as little as 1 ms and up to 37x more energy efficient compared to two baseline solvers running on a CPU. These advantages could be especially relevant for size-, weight-, and power-constrained edge computing applications.<|reference_end|>
@article{pierro2024solving,
    title={Solving QUBO on the Loihi 2 Neuromorphic Processor},
    author={Alessandro Pierro, Philipp Stratmann, Gabriel Andres Fonseca Guerra,
  Sumedh Risbud, Timothy Shea, Ashish Rao Mangalore, Andreas Wild},
    journal={arXiv preprint arXiv:2408.03076},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.03076},
    primaryClass={cs.NE cs.AI cs.DM}
}