Level Generation with Quantum Reservoir Computing

Abstract

Reservoir computing is a form of machine learning particularly suited for time series analysis, including forecasting predictions. We take an implementation of quantum reservoir computing that was initially designed to generate variants of musical scores and adapt it to create levels of Super Mario Bros. Motivated by our analysis of these levels, we develop a new Roblox obby where the courses can be generated in real time on superconducting qubit hardware, and investigate some of the constraints placed by such real-time generation.

Tasks

Reproductions