Quantum Enhanced Filter: QFilter
La Salle - Universitat Ramon Llull（拉塞尔-拉蒙尤以大学）；Lighthouse Disruptive Innovation Group, LLC（灯塔颠覆性创新集团有限责任公司）；Universidad de Valladolid（巴利亚多利德大学）
英文摘要：
Convolutional Neural Networks (CNN) are used mainly to treat problems with many images characteristic of Deep Learning. In this work, we propose a hybrid image classification model to take advantage of quantum and classical computing. The method will use the potential that convolutional networks have shown in artificial intelligence by replacing classical filters with variational quantum filters. Similarly, this work will compare with other classification methods and the system's execution on different servers. The algorithm's quantum feasibility is modelled and tested on Amazon Braket Notebook instances and experimented on the Pennylane's philosophy and framework.
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。
