An Evaluation Framework and Instruction Set Architecture for Ion-Trap Based Quantum Micro-Architectures

Author:

Balensiefer Steven1,Kregor-Stickles Lucas1,Oskin Mark1

Affiliation:

1. University of Washington

Abstract

The theoretical study of quantum computation has yielded efficient algorithms for some traditionally hard problems. Correspondingly, experimental work on the underlying physical implementation technology has progressed steadily. However, almost no work has yet been done which explores the architecture design space of large scale quantum computing systems. In this paper, we present a set of tools that enable the quantitative evaluation of architectures for quantum computers. The infrastructure we created comprises a complete compilation and simulation system for computers containing thousands of quantum bits. We begin by compiling complete algorithms into a quantum instruction set. This ISA enables the simple manipulation of quantum state. Another tool we developed automatically transforms quantum software into an equivalent, fault-tolerant version required to operate on real quantum devices. Next, our infrastructure transforms the ISA into a set of low-level micro architecture specific control operations. In the future, these operations can be used to directly control a quantum computer. For now, our simulation framework quickly uses them to determine the reliability of the application for the target micro architecture. Finally, we propose a simple, regular architecture for ion-trap based quantum computers. Using our software infrastructure, we evaluate the design trade offs of this micro architecture.

Publisher

Association for Computing Machinery (ACM)

Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Performance Analysis of the IBM Cloud Quantum Computing Lab Against MacBook Pro 2019;Intelligent Human Computer Interaction;2022

2. An experimental microarchitecture for a superconducting quantum processor;Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture;2017-10-14

3. Taming the instruction bandwidth of quantum computers via hardware-managed error correction;Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture;2017-10-14

4. Programming languages and compiler design for realistic quantum hardware;Nature;2017-09

5. On the impact of quantum computing technology on future developments in high-performance scientific computing;Ethics and Information Technology;2017-08-31

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