2025/03/31 by Antonio David Bastida Zamora, Ljubomir Budinski, Zamora, Antonio David Bastida +5 · 2 citations
Computer Science · Engineering · #Quantum Computing Algorithms and Architecture #Advanced Memory and Neural Computing #Neural Networks and Reservoir Computing
paper · pdf · doi:10.1103/5bby-34zx
Building upon the Integer Lattice Gas Automata framework of Blommel and Wagner [Phys. Rev. E 97, 023310 (2018)2470-004510.1103/PhysRevE.97.023310], we introduce a simplified, fluctuation-free variant. This approach relies on floating-point numbers and closely mirrors the Lattice Boltzmann Method (LBM), with the key distinction being a different collision operator. This operator, derived from the ensemble average of transition probabilities, generates nonlinear terms. We propose this float lattice gas automata collision as a computationally efficient alternative to traditional and quantum LBM implementations.