论文标题
将ZX图与量子机学习的应用区分开和集成
Differentiating and Integrating ZX Diagrams with Applications to Quantum Machine Learning
论文作者
论文摘要
事实证明，ZX-Calculus是具有广泛成功应用程序的量子技术的有用工具。这些应用中的大多数具有代数性质。但是，涉及分化和集成的其他任务与当前的ZX技术保持无法达到。在这里，我们通过完全在ZX-Calculus的框架内实现分化和集成来将ZX提升到分析观点。我们通过在量子机学习中应用ZX-Calculus明确说明了ZX-Calculus的新分析框架，以分析贫瘠的高原。
ZX-calculus has proved to be a useful tool for quantum technology with a wide range of successful applications. Most of these applications are of an algebraic nature. However, other tasks that involve differentiation and integration remain unreachable with current ZX techniques. Here we elevate ZX to an analytical perspective by realising differentiation and integration entirely within the framework of ZX-calculus. We explicitly illustrate the new analytic framework of ZX-calculus by applying it in context of quantum machine learning for the analysis of barren plateaus.
