da Silva Maria Heloísa Fraga, Jesus Gleydson Fernandes de, Cruz Clebson
Grupo de Informação Quântica e Física Estatística, Centro de Ciências Exatas e das Tecnologias, Universidade Federal do Oeste da Bahia-Campus Reitor Edgard Santos, Rua Bertioga, 892, Morada Nobre I, Barreiras 47810-059, BA, Brazil.
Latin American Quantum Computing Center, High Performance Computing Center, SENAI CIMATEC, Av. Orlando Gomes, 1845, Piatã, Salvador 41650-010, BA, Brazil.
Entropy (Basel). 2024 Aug 6;26(8):668. doi: 10.3390/e26080668.
Quantum computing is tipped to lead the future of global technological progress. However, the obstacles related to quantum software development are an actual challenge to overcome. In this scenario, this work presents an implementation of the quantum search algorithm in Atos Quantum Assembly Language (AQASM) using the quantum software stack my Quantum Learning Machine (myQLM) and the programming development platform Quantum Learning Machine (QLM). We present the creation of a virtual quantum processor whose configurable architecture allows the analysis of induced quantum noise effects on the quantum algorithms. The codes are available throughout the manuscript so that readers can replicate them and apply the methods discussed in this article to solve their own quantum computing projects. The presented results are consistent with theoretical predictions and demonstrate that AQASM and QLM are powerful tools for building, implementing, and simulating quantum hardware.
量子计算有望引领全球技术进步的未来。然而,与量子软件开发相关的障碍是需要克服的实际挑战。在这种情况下,本文展示了使用量子软件栈“我的量子学习机”(myQLM)和编程开发平台“量子学习机”(QLM),在阿托斯量子汇编语言(AQASM)中实现量子搜索算法。我们展示了一个虚拟量子处理器的创建,其可配置架构允许分析量子噪声对量子算法的诱导效应。本文手稿中提供了代码,以便读者能够复制它们,并应用本文讨论的方法来解决他们自己的量子计算项目。所呈现的结果与理论预测一致,并证明AQASM和QLM是用于构建、实现和模拟量子硬件的强大工具。