论文标题
同时进行量子机器学习培训和建筑发现
Simultaneous Quantum Machine Learning Training and Architecture Discovery
论文作者
论文摘要
随着封闭式量子机学习的开始，这种系统的体系结构是一个悬而未决的问题。许多体系结构是临时创建的，或者是直接与已知的古典体系结构相似的。这里介绍的是一种新颖的算法，它可以学习一个封闭式的量子机学习体系结构，同时学习其参数。探索和讨论了这种概念及其一些变体的证明。
With the onset of gated quantum machine learning, the architecture for such a system is an open question. Many architectures are created either ad hoc or are directly analogous from known classical architectures. Presented here is a novel algorithm which learns a gated quantum machine learning architecture while simultaneously learning its parameters. This proof of concept and some of its variations are explored and discussed.
