  We explore for the first time the direct construction of string models on
quantum annealers, and investigate their efficiency and effectiveness in the
model discovery process. Through a thorough comparison with traditional methods
such as simulated annealing, random scans, and genetic algorithms, we highlight
the potential advantages offered by quantum annealers, which in this study
promised to be roughly fifty times faster than random scans and genetic
algorithm and approximately four times faster than simulated annealing.
