mlsanityData to 7 Oct 2026

Solving QUBO on the Loihi 2 Neuromorphic Processor

arXiv 2408.03076 ↗First posted 6 Aug 2024cs.NE cs.AI cs.DMcited by 4

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Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 11 of its 45 references that are in the map. First posted on arXiv 6 Aug 2024.

Builds on

11 of 45 references.

References · 11

  1. 2013Ising formulations of many NP problemscited by 204
  2. 2021Efficient Neuromorphic Signal Processing with Loihi 2cited by 90
  3. 2023NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systemscited by 27
  4. 2020Portfolio Optimisation Using the D-Wave Quantum Annealercited by 10
  5. 2024Neuromorphic quadratic programming for efficient and scalable model predictive controlcited by 6
  6. 2021Benchmark of quantum-inspired heuristic solvers for quadratic unconstrained binary optimizationcited by 5
  7. 2015Spiking Analog VLSI Neuron Assemblies as Constraint Satisfaction Problem Solverscited by 4
  8. 2023Efficient and Scalable Architecture for Multiple-chip Implementation of Simulated Bifurcation Machinescited by 4
  9. 2023Sampling binary sparse coding QUBO models using a spiking neuromorphic processorcited by 3
  10. 2021Quantum Quantitative Trading: High-Frequency Statistical Arbitrage Algorithmcited by 1
  11. 2023An Optimization Case Study for solving a Transport Robot Scheduling Problem on Quantum-Hybrid and Quantum-Inspired Hardwarecited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 1.

4 papers.