论文标题
连续可变预测的量子经典混合神经网络
Quantum classical hybrid neural networks for continuous variable prediction
论文作者
论文摘要
在这十年内，量子计算机预计在处理能力方面胜过常规计算机，对各种业务部门具有破坏性影响。据预测，金融部门将是最早从短期和长期中受益的量子计算的部门之一。在这项研究工作中，我们使用混合量子神经网络为连续可变预测提供量子机学习方法。
Within this decade, quantum computers are predicted to outperform conventional computers in terms of processing power and have a disruptive effect on a variety of business sectors. It is predicted that the financial sector would be one of the first to benefit from quantum computing both in the short and long terms. In this research work we use Hybrid Quantum Neural networks to present a quantum machine learning approach for Continuous variable prediction.
