用于市场预测的最优量子储备池计算：在应对粮食价格危机中的应用
Optimal quantum reservoir computing for market forecasting: An application to fight food price crises
AI总结：
本文提出一种基于复杂性的量子储备池最优设计准则，用于粮食价格危机预测，证明了在缺乏外部回归变量时最优设计对算法性能的关键作用，展示了量子计算在时间序列预测中的潜力。
摘要：
新兴的量子储备池计算（QRC）技术凭借其卓越的效率和适应性，在含噪声中等规模量子（NISQ）时代中脱颖而出。通过利用量子计算的能力，它在理清复杂经济市场方面具有巨大潜力，正如本文在粮食价格危机预测应用中所展示的那样，这对于减少粮食浪费和建立可持续粮食供应链至关重要。然而，其成功的一个关键考虑因素是量子储备池的最优设计，以确保高性能及与当前设备的兼容性。为此，本文基于储备池的复杂性提供了一种高效准则。结果强调了最优设计在算法性能中的关键作用，尤其是在缺乏外部回归变量时，展示了量子计算在时间序列预测领域带来新见解和变革性应用的潜力。
英文摘要：
The emerging technology of quantum reservoir computing (QRC) stands out in the noisy-intermediate scale quantum era (NISQ) for its exceptional efficiency and adaptability. By harnessing the power of quantum computing, it holds a great potential to untangle complex economic markets, as demonstrated here in an application to food price crisis prediction - a critical effort in combating food waste and establishing sustainable food chains. Nevertheless, a pivotal consideration for its success is the optimal design of the quantum reservoirs, ensuring both high performance and compatibility with current devices. In this paper, we provide an efficient criterion for that purpose, based on the complexity of the reservoirs. Our results emphasize the crucial role of optimal design in the algorithm performance, especially in the absence of external regressor variables, showcasing the potential for novel insights and transformative applications in the field of time series prediction using quantum computing.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
