On the theory of quantum and towards practical computation: A review

IF 3.1 3区计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Computational Science Pub Date : 2024-10-11 DOI:10.1016/j.jocs.2024.102454

Robert Kudelić

引用次数: 0

Abstract

Quantum computing exposes the brilliance of quantum mechanics through computer science (in theory and otherwise), giving oneself a marvelous and exhilarating journey to go through. This review article leads along that journey with a historical and current outlook on quantum computation that is geared toward computer experts (via algorithmics) but also to experts from other disciplines as well. It is an article that will open an entering wedge through which one will be able to bring himself up to speed on quantum computation and challenges/limitations thereof. We are indeed in luck to be living in an age where computing is being reinvented, and not only seeing history in the making firsthand but, in fact, having the opportunity to be the ones who are reinventing—and that is quite a thought.

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量子理论与实用计算：综述

量子计算通过计算机科学（在理论和其他方面）揭示了量子力学的光辉，给自己带来了一次奇妙而令人兴奋的旅程。这篇综述文章以量子计算的历史和现状为线索，面向计算机专家（通过算法），同时也面向其他学科的专家。这篇文章将为我们打开一个入口，通过它，我们可以了解量子计算及其面临的挑战/限制。我们确实很幸运，生活在一个计算正在被重塑的时代，我们不仅亲眼目睹了历史的创造，事实上，我们还有机会成为重塑者--这是一个相当不错的想法。

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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来源期刊

Journal of Computational Science COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS

CiteScore

5.50

自引率

3.00%

发文量

227

审稿时长

41 days

期刊介绍： Computational Science is a rapidly growing multi- and interdisciplinary field that uses advanced computing and data analysis to understand and solve complex problems. It has reached a level of predictive capability that now firmly complements the traditional pillars of experimentation and theory. The recent advances in experimental techniques such as detectors, on-line sensor networks and high-resolution imaging techniques, have opened up new windows into physical and biological processes at many levels of detail. The resulting data explosion allows for detailed data driven modeling and simulation. This new discipline in science combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods. Computational science typically unifies three distinct elements: • Modeling, Algorithms and Simulations (e.g. numerical and non-numerical, discrete and continuous); • Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems; • Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components (e.g. problem solving environments).