New Research:

Harnessing the power of honeybees for complex mathematical computations

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Journal of Swarm Intelligence and Quantum Computation
Volume 42, Issue 1, April 2025
DOI: 10.3141/JSIQC.2025.0401

Harnessing Apis Mellifera as a Decentralized Quantum-Computing Neural Network

 

Ava B. Foreman¹, I. M. Weinstein², Beatrix Perez³
¹Institute for Bio-Swarm Computation
²Department of Apicultural Mathematics
³Quantum Pollination Research Center

Abstract

In a groundbreaking fusion of biological intelligence and computational theory, we present a novel method for harnessing the collective neural network of honeybee (Apis mellifera) colonies for ultra-high-speed problem-solving. Utilizing BeeHome™ technology, we established a bidirectional communication system wherein electrical signals encode complex mathematical problems, and solutions are received via high-frequency waggle dance transcriptions. Our experiments demonstrate that a single hive, consisting of ~50,000 bees, outperforms the world's fastest supercomputers, such as El Capitan and Frontier, by several orders of magnitude. With a network of 200,000 hives, we have exceeded 200 exaFLOPS, entering the realm of biological quantum supremacy.

To date this technology has solved the Riemann Hypothesis and the Collatz Conjecture, offering elegant proofs in the form of precisely choreographed dances. Current computations focus on Navier-Stokes equations, the Goldbach Conjecture, the Poincaré Conjecture, and the P vs. NP problem, with preliminary results suggesting a polynomial-time verification method. The implications of this discovery extend beyond theoretical mathematics, suggesting a future in which bio-swarm computing could replace traditional silicon-based architectures. Future research will explore the potential of honeybee colonies in lattice quantum chromodynamics and real-time weather forecasting.

Keywords

Apis mellifera computing, waggle-based cryptography, hive neural networks, quantum pollination, decentralized AI

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