Joao S Ferreira, Pierre Fromholz, Hari Shaji, James R Wootton, Mike Potel
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引用次数: 0
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 obstacle course game (known as an "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.
期刊介绍:
IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics, visualization, virtual and augmented reality, and HCI. From specific algorithms to full system implementations, CG&A offers a unique combination of peer-reviewed feature articles and informal departments. Theme issues guest edited by leading researchers in their fields track the latest developments and trends in computer-generated graphical content, while tutorials and surveys provide a broad overview of interesting and timely topics. Regular departments further explore the core areas of graphics as well as extend into topics such as usability, education, history, and opinion. Each issue, the story of our cover focuses on creative applications of the technology by an artist or designer. Published six times a year, CG&A is indispensable reading for people working at the leading edge of computer-generated graphics technology and its applications in everything from business to the arts.