Solving QUBO on the Loihi 2 Neuromorphic Processor

Alessandro Pierro; Andreas Wild; Ashish Rao Mangalore; Gabriel Andres Fonseca Guerra; Philipp Stratmann; Sumedh Risbud; Timothy Shea

Solving QUBO on the Loihi 2 Neuromorphic Processor

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arxiv 2408.03076 v1 pith:MQPGOZUU submitted 2024-08-06 cs.NE cs.AIcs.DM

Solving QUBO on the Loihi 2 Neuromorphic Processor

Alessandro Pierro , Philipp Stratmann , Gabriel Andres Fonseca Guerra , Sumedh Risbud , Timothy Shea , Ashish Rao Mangalore , Andreas Wild This is my paper

classification cs.NE cs.AIcs.DM

keywords loihineuromorphicalgorithmintelprocessorsolvingadvantagesannealing

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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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A robust PnP solver (NeuroPnP) is reformulated as an energy-minimization problem that runs on Intel Loihi 2, achieving roughly 1% of a CPU's power draw, with competitive accuracy in CPU simulation but lower accuracy o...