用量子储备池计算生成超级马里奥关卡，实现实时生成
Level Generation with Quantum Reservoir Computing
- 基于量子储备池计算生成游戏关卡
- 在超导量子硬件上实现实时关卡生成
- 适合对量子计算与游戏设计交叉研究者
储备池计算是一种特别适用于时间序列分析的机器学习方法，包括预测性建模。我们采用最初用于生成音乐变奏的量子储备池计算实现，并将其适配于生成《超级马里奥兄弟》的关卡。基于对生成关卡的分析，我们开发了一款新的 Roblox 'obby'，其关卡可在超导量子比特硬件上实时生成，并研究了此类实时生成带来的约束条件。
原文摘要 · Abstract (English)
Reservoir computing is a form of machine learning particularly suited for time series analysis, including forecasting predictions. We take an implementation of \emph{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 \textit{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.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。