.png){kind=icon}
返回
Programming the Quantum Future
.png){kind=icon}
PRE
AI
DOI：10.1145/2699415.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
THE EARLIEST COMPUTERS, like the ENIAC, were rare and heroically difficult to program. That difficulty stemmed from the requirement that algorithms be expressed in a vocabulary suited to the particular hardware available, ranging from function tables for the ENIAC to more conventional arithmetic and movement operations on later machines. Introduction of symbolic programming languages, exemplified by FORTRAN, solved a major difficulty for the next generation of computing devices by enabling specification of an algorithm in a form more suitable for human understanding, then translating this specification to a form executable by the machine. The programming language used for such specification bridged a semantic gap between the human and the computing device. It provided two important features: high-level abstractions, taking care of automated bookkeeping, and modularity, making it easier to reason about sub-parts of programs.
Keyword:
LAMBDA-CALCULUS
COMPUTATION
ALGORITHMS
LANGUAGES
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
12.2
论文数:
1.2W
被引数:
3.7W
机构
引用论文
Oestrous behaviour, follicular growth and ovulation during pregnancy in the hare (Lepus europaeus).png)
Reproduction
OAAI
ReproductionIF0
OAAI分享收藏
查看更多内容