COMPARAÇÃO DE DESEMPENHO DO ALGORITMO DE DEUTSCH-JOZSA NAS LINGUAGENS QUÂNTICAS SILQ E QASM

Mariana Godoy Vazquez Miano, Lucas Eneas Gomes Pinheiro, Sthefanie Costa Amaro, Victor Emanuel Pereira Ferreira
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Abstract

Due to the importance given to information in the last few decades, a performance and processing advantage of information becomes relevant, something that can be found through quantum computing. The Deutsch-Jozsa Algorithm is the first example of a quantum algorithm that offers an exponential advantage against classical algorithms, whether in a local environment or through cloud simulators. Seeking to explore the advantages of quantum computation, the Deutsch-Jozsa Algorithm was implemented in two quantum programming languages, namely the high level language Silq, focused on the execution of the algorithm on a local environment through VSCode, which offers a cleaner and friendly sintaxe as well as quantum uncomputation, and also in OpenQASM, a low level language meant to interact with quantum circuits, used to better visualizethe Deutsch-Jozsa Algorithm. This paper aims to make the differences between high and low-level quantum languages clear, as well as incentivize the change to a new paradigm
德希-约萨算法在 Silq 和 Qasm 量子语言中的性能比较
由于信息在过去几十年中的重要性,信息的性能和处理优势变得尤为重要,而量子计算可以实现这一点。Deutsch-Jozsa 算法是量子算法的第一个实例,与经典算法相比,无论是在本地环境还是通过云模拟器,它都具有指数级的优势。为了探索量子计算的优势,Deutsch-Jozsa 算法用两种量子编程语言实现,一种是高级语言 Silq,重点是通过 VSCode 在本地环境中执行算法,VSCode 提供了更简洁友好的 sintaxe 以及量子非计算;另一种是 OpenQASM,一种旨在与量子电路交互的低级语言,用于更好地可视化 Deutsch-Jozsa 算法。本文旨在阐明高级量子语言和低级量子语言之间的差异,并鼓励向新范式转变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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