QuaSiMo:一个可组合的库,用于编程量子模拟的混合工作流

IF 2.5 Q3 QUANTUM SCIENCE & TECHNOLOGY IET Quantum Communication Pub Date : 2021-10-29 DOI:10.1049/qtc2.12024
Thien Nguyen, Lindsay Bassman Oftelie, Phillip C. Lotshaw, Dmitry Lyakh, Alexander McCaskey, Vicente Leyton-Ortega, Raphael Pooser, Wael Elwasif, Travis S. Humble, Wibe A. de Jong
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引用次数: 1

摘要

提出了一种可组合的设计方案,用于开发量子模拟应用中的量子/经典混合算法和工作流程。所提出的面向对象方法是基于构建一套表达性的通用数据结构和方法,使各种复杂的混合量子模拟应用程序的编程成为可能。通过对现有量子仿真算法的分析,提炼出该方案的抽象核心。随后,它允许通过扩展、专门化和由提议的设计定义的抽象核心类的动态定制来合成新的混合算法和工作流。该设计方案是在QuaSiMo库中使用与硬件无关的编程语言QCOR实现的。为了验证该实现,作者在IBM和Rigetti的商业量子处理器上测试并展示了它的实用性,运行了一些原型量子模拟。
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QuaSiMo: A composable library to program hybrid workflows for quantum simulation

A composable design scheme is presented for the development of hybrid quantum/classical algorithms and workflows for applications of quantum simulation. The proposed object-oriented approach is based on constructing an expressive set of common data structures and methods that enables programming of a broad variety of complex hybrid quantum simulation applications. The abstract core of the scheme is distilled from the analysis of the current quantum simulation algorithms. Subsequently, it allows synthesis of new hybrid algorithms and workflows via the extension, specialisation, and dynamic customisation of the abstract core classes defined by the proposed design. The design scheme is implemented using the hardware-agnostic programming language QCOR into the QuaSiMo library. To validate the implementation, the authors test and show its utility on commercial quantum processors from IBM and Rigetti, running some prototypical quantum simulations.

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