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Composable Programming of Hybrid Workflows for Quantum Simulation

机译:量子仿真混合工作流程的可组合编程

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We present a composable design scheme for the development of hybrid quantum/classical algorithms and workflows for applications of quantum simulation. Our object-oriented approach is based on constructing an expressive set of common data structures and methods that enable programming of a broad variety of complex hybrid quantum simulation applications. The abstract core of our scheme is distilled from the analysis of the current quantum simulation algorithms. Subsequently, it allows a synthesis of new hybrid algorithms and workflows via the extension, specialization, and dynamic customization of the abstract core classes defined by our design. We implement our design scheme using the hardware-agnostic programming language QCOR into the QuaSiMo library. To validate our implementation, we test and show its utility on commercial quantum processors from IBM, running some prototypical quantum simulations.
机译:我们为量子仿真应用开发混合量子/经典算法和工作流程的可编程设计方案。 我们面向对象的方法是基于构建一种富有常见的常见数据结构和方法的方法,这些结构和方法使得可以编程各种复杂的混合量子仿真应用。 我们计划的抽象核心从电流量子仿真算法的分析中蒸馏出来。 随后,它允许通过我们设计定义的抽象核心类的扩展,专业化和动态定制来合成新的混合算法和工作流程。 我们使用硬件无人编程语言QCOR实现我们的设计方案进入Quasimo库。 为了验证我们的实现,我们从IBM测试并显示其对商业量子处理器的实用程序,运行了一些原型Quantum模拟。

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