为工作负载驱动协同设计开发量子工作负载

A. Matsuura
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引用次数: 0

摘要

量子计算为解决当今经典计算机难以解决的问题提供了未来的希望。然而,作为一种全新的计算设备,我们必须学会如何最好地开发有用的工作负载。今天的小工作负载有双重目的,它们也可以用来学习如何设计更好的量子计算系统架构。在英特尔实验室,我们开发面向应用程序的小型工作负载,并利用它们推动可扩展量子计算系统架构设计的研究。我们在现有的小量子位系统上运行这些小工作负载,以了解系统架构需要什么才能在真正的量子位上高效、准确地运行它们。在这次演讲中,我将给出量子工作负载驱动的协同设计的例子,以及我们从这种类型的研究中学到的东西。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing Quantum Workloads for Workload-Driven Co-design
Quantum computing offers the future promise of solving problems that are intractable for classical computers today. However, as an entirely new kind of computational device, we must learn how to best develop useful workloads. Today's small workloads serve the dual purpose that they can also be used to learn how to design a better quantum computing system architecture. At Intel Labs, we develop small application-oriented workloads and use them to drive research into the design of a scalable quantum computing system architecture. We run these small workloads on the small systems of qubits that we have today to understand what is required from the system architecture to run them efficiently and accurately on real qubits. In this presentation, I will give examples of quantum workload-driven co-design and what we have learned from this type of research.
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