Qeios, Год журнала: 2025, Номер 7(3)
Опубликована: Май 5, 2025
This perspective explores the potential integration of quantum computing principles with artificial intelligence to enhance time-series forecasting. GOAL: The primary goal is provide a structured overview how algorithms, particularly reservoir and neural networks, could improve accuracy, efficiency, capabilities AI in processing predicting temporal data. METHODS OF INQUIRY: study presented as NARRATIVE REVIEW, synthesizing information from existing literature on computing, AI, analysis, theoretical mechanics map landscape, challenges, future directions. IMPLICATIONS: We discuss implications for management technology, highlighting nascent stage significant hardware algorithmic challenges that remain, critical need robust ethical frameworks guide development deployment areas like finance, climate modeling, healthcare. findings underscore necessity interdisciplinary collaboration strategic R&D investment navigate complexities this converging technological frontier.
Язык: Английский