Solving QUBO on the Loihi 2 Neuromorphic Processor

Alessandro Pierro, Philipp Stratmann, Gabriel Andres Fonseca Guerra, Sumedh Risbud, Timothy Shea +2 more
8/6/2024
cs.NEcs.AIcs.DM

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Abstract

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.

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Cite this paper

@article{pierro2024solving,
  title  = {Solving QUBO on the Loihi 2 Neuromorphic Processor},
  author = {Alessandro Pierro and Philipp Stratmann and Gabriel Andres Fonseca Guerra and Sumedh Risbud and Timothy Shea and Ashish Rao Mangalore and Andreas Wild},
  year   = {2024},
  eprint = {2408.03076},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2408.03076v1}
}

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