Entangled swarm intelligence: Quantum computation for swarm robotics

Abstract

A new paradigm of an entangled swarm intelligence is proposed. It is an abstract quantumcomputational model for a super-fast, high-dimensional, parallel and fault tolerant swarm intelligence. In other words, it is a deep convolutional neural network that is fully entangled (i.e., all processing units, or ‘multineurons’, or robots are inseparably interconnected as a single intelligent entity). It is
formally defined as a tensor product of a large number of Hilbert spaces, all forming a very large matrix with elements representing individual n-qubit multineurons. This abstract quantum brain model is targeting quantum silicon chips with many millions of qubits, which will certainly be available in the near future.