对用于量子计算的量子比特的基本原理和发展进行了基本回顾。

IF 13.4 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Eunmi Chae, Joonhee Choi, Junki Kim
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引用次数: 0

摘要

本文对量子比特的原理及其在量子计算中的应用前景进行了初步评述。由于发展迅速,量子计算作为下一代的核心技术已经引起了广泛关注,并在奇异材料、分子结构和理论计算机科学的模拟中展示了其潜力。要实现完全纠错的量子计算机,从多个物理量子比特构建逻辑量子比特至关重要。所需的物理量子比特数量取决于它们的误差率,因此减少物理量子比特的误差至关重要。现有和新兴的量子系统都在为减少误差做出大量努力。本文回顾了量子比特的原理和发展,以及该领域的现状,旨在为各领域的研究人员提供信息,让他们深入了解这项前景广阔的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An elementary review on basic principles and developments of qubits for quantum computing

An elementary review on principles of qubits and their prospects for quantum computing is provided. Due to its rapid development, quantum computing has attracted considerable attention as a core technology for the next generation and has demonstrated its potential in simulations of exotic materials, molecular structures, and theoretical computer science. To achieve fully error-corrected quantum computers, building a logical qubit from multiple physical qubits is crucial. The number of physical qubits needed depends on their error rates, making error reduction in physical qubits vital. Numerous efforts to reduce errors are ongoing in both existing and emerging quantum systems. Here, the principle and development of qubits, as well as the current status of the field, are reviewed to provide information to researchers from various fields and give insights into this promising technology.

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来源期刊
Nano Convergence
Nano Convergence Engineering-General Engineering
CiteScore
15.90
自引率
2.60%
发文量
50
审稿时长
13 weeks
期刊介绍: Nano Convergence is an internationally recognized, peer-reviewed, and interdisciplinary journal designed to foster effective communication among scientists spanning diverse research areas closely aligned with nanoscience and nanotechnology. Dedicated to encouraging the convergence of technologies across the nano- to microscopic scale, the journal aims to unveil novel scientific domains and cultivate fresh research prospects. Operating on a single-blind peer-review system, Nano Convergence ensures transparency in the review process, with reviewers cognizant of authors' names and affiliations while maintaining anonymity in the feedback provided to authors.
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