喵ID:GDYfXb免责声明

HybridQ: A Hybrid Simulator for Quantum Circuits

HybridQ:量子电路的混合模拟器

基本信息

DOI:
--
发表时间:
2021
期刊:
2021 IEEE/ACM Second International Workshop on Quantum Computing Software (QCS)
影响因子:
--
通讯作者:
R. Biswas
中科院分区:
文献类型:
--
作者: S. Mandrà;Jeffrey Marshall;E. Rieffel;R. Biswas研究方向: -- MeSH主题词: --
关键词: --
来源链接:pubmed详情页地址

文献摘要

Developing state-of-the-art classical simulators of quantum circuits is of utmost importance to test and evaluate early quantum technology and understand the true potential of full-blown error-corrected quantum computers. In the past few years, multiple theoretical and numerical advances have continuously pushed the boundary of what is classically simulable, hence the development of a plethora of tools which are often limited to a specific purpose or designed for a particular hardware (e.g. CPUs vs. GPUs). Moreover, such tools are typically developed using tailored languages and syntax, which makes it hard to compare results from, and create hybrid approaches using, different simulation techniques. To support unified and optimized use of these techniques across platforms, we developed HybridQ , a highly extensible platform designed to provide a common framework to integrate multiple state-of-the-art techniques to run on a variety of hardware. The philosophy behind its development has been driven by three main pillars: Easy to Use, Easy to Extend, and Use the Best Available Technology. The powerful tools of HybridQ allow users to manipulate, develop, and extend noiseless and noisy circuits for different hardware architectures. HybridQ supports large-scale high-performance computing (HPC) simulations, automatically balancing workload among different processor nodes and enabling the use of multiple backends to maximize parallel efficiency. Everything is then glued together by a simple and expressive language that allows seamless switching from one technique to another as well as from one hardware to the next, without the need to write lengthy translations, thus greatly simplifying the development of new hybrid algorithms and techniques.
开发最先进的量子电路经典模拟器对于测试和评估早期量子技术以及理解完全纠错的量子计算机的真正潜力至关重要。在过去几年中,多项理论和数值方面的进展不断拓展了经典可模拟的边界,因此开发了大量工具,这些工具往往局限于特定目的或为特定硬件(例如CPU与GPU)而设计。此外,此类工具通常使用定制的语言和语法开发,这使得很难比较不同模拟技术的结果以及创建使用不同模拟技术的混合方法。为了支持在不同平台上统一和优化使用这些技术,我们开发了HybridQ,这是一个高度可扩展的平台,旨在提供一个通用框架,以集成多种最先进的技术,使其能够在各种硬件上运行。其开发背后的理念由三个主要支柱驱动:易于使用、易于扩展以及使用最佳可用技术。HybridQ的强大工具允许用户针对不同的硬件架构操作、开发和扩展无噪声和有噪声的电路。HybridQ支持大规模高性能计算(HPC)模拟,自动在不同处理器节点之间平衡工作负载,并能够使用多个后端以最大限度地提高并行效率。然后,通过一种简单且富有表现力的语言将所有内容整合在一起,该语言允许从一种技术无缝切换到另一种技术,以及从一种硬件切换到另一种硬件,而无需编写冗长的转换代码,从而极大地简化了新的混合算法和技术的开发。
参考文献(2)
被引文献(14)
Quantum Computing in the NISQ era and beyond
DOI:
10.22331/q-2018-08-06-79
发表时间:
2018-08-06
期刊:
QUANTUM
影响因子:
6.4
作者:
Preskill, John
通讯作者:
Preskill, John
Simulation of quantum circuits by low-rank stabilizer decompositions
DOI:
10.22331/q-2019-09-02-181
发表时间:
2019-08-27
期刊:
QUANTUM
影响因子:
6.4
作者:
Bravyi, Sergey;Browne, Dan;Howard, Mark
通讯作者:
Howard, Mark

数据更新时间:{{ references.updateTime }}

R. Biswas
通讯地址:
--
所属机构:
--
电子邮件地址:
--
免责声明免责声明
1、猫眼课题宝专注于为科研工作者提供省时、高效的文献资源检索和预览服务;
2、网站中的文献信息均来自公开、合规、透明的互联网文献查询网站,可以通过页面中的“来源链接”跳转数据网站。
3、在猫眼课题宝点击“求助全文”按钮,发布文献应助需求时求助者需要支付50喵币作为应助成功后的答谢给应助者,发送到用助者账户中。若文献求助失败支付的50喵币将退还至求助者账户中。所支付的喵币仅作为答谢,而不是作为文献的“购买”费用,平台也不从中收取任何费用,
4、特别提醒用户通过求助获得的文献原文仅用户个人学习使用,不得用于商业用途,否则一切风险由用户本人承担;
5、本平台尊重知识产权,如果权利所有者认为平台内容侵犯了其合法权益,可以通过本平台提供的版权投诉渠道提出投诉。一经核实,我们将立即采取措施删除/下架/断链等措施。
我已知晓