Generating efficient quantum circuits for preparing maximally multipartite entangled states

TL;DR

This paper introduces a genetic programming approach to efficiently generate quantum circuits for preparing maximally multipartite entangled states, allowing arbitrary system structures and resulting in simpler, faster solutions.

Contribution

The authors develop a novel genetic programming method that outperforms existing techniques in speed and flexibility for creating entangled quantum states, including arbitrary system configurations.

Findings

Faster generation of entangled states compared to known methods

Ability to define arbitrary system structures

Discovery of simpler quantum circuits for entanglement

Abstract

In this work we provide a method for generating quantum circuits preparing maximally multipartite entangled states using genetic programming. The presented method is faster that known realisations thanks to the applied fitness function and several modifications to the genetic programming schema. Moreover, we enrich the described method by the unique possibility to define an arbitrary structure of a system. We use the developed method to find new quantum circuits, which are simpler from known results. We also analyse the efficiency of generating entanglement in the spin chain system and in the system of complete connections.