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P2 Keynote

主题演讲
ASPLOS Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems2019匹配度 1/10 · 该论文是一篇关于量子计算概览与展望的 Keynote,核心内容是量子算法与量子设备,并未涉及用户关注的静态分析、LLM/Agent、浮点程序分析或贝叶斯程序分析。虽然标签含“量子与概率编程”,但摘要未体现 probabilistic programming 或程序分析相关研究。引用 0 inbox
Krysta Svore
crossref: 2026-09-12

AI 速览

一句话:概述量子计算如何利用量子物理实现超越经典的计算加速,并展望其影响。

这是 Krysta Svore 的主题演讲,回顾了 1981 年 Richard Feynman 提出量子计算机设想的背景,指出量子计算有望革新计算方式与计算内容。过去三十年中,量子算法在数论、优化、化学、物理和材料科学等多个领域提供了快速求解途径;量子设备也取得显著进展,可扩展量子计算机的若干组件已被演示,量子算法的实现已临近。演讲旨在解释这一颠覆性、革命性计算范式的若干奥秘,以及它将如何改变我们的数字时代。

问题
量子计算这一颠覆性计算范式的基本原理、潜力与实现进展需要向广泛受众阐明。
方法
以主题演讲形式回顾量子计算的历史动机、量子算法发展和量子设备进展,并进行前景展望。
评估
该报告为综述性与展望性演讲,未包含具体实验、基准测试或系统评估。
原文摘要(Abstract)

In 1981, Richard Feynman proposed a device called a 'quantum computer' to take advantage of the laws of quantum physics to achieve computational speed-ups over classical methods. Quantum computing promises to revolutionize how and what we compute. Over the course of three decades, quantum algorithms have been developed that offer fast solutions to problems in a variety of fields including number theory, optimization, chemistry, physics, and materials science. Quantum devices have also significantly advanced such that components of a scalable quantum computer have been demonstrated; the promise of implementing quantum algorithms is in our near future. I will attempt to explain some of the mysteries of this disruptive, revolutionary computational paradigm and how it will transform our digital age.

链接与引用

DOI 原文 ·

BibTeX
@inproceedings{paperbot4876,
  title = {Keynote},
  author = {Krysta Svore},
  booktitle = {ASPLOS},
  year = {2019},
  doi = {10.1145/3297858.3320434}
}