Deep learning and quantum algorithms approach to investigating the feasibility of wormholes: A review

IF 1.9 4区物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS

Astronomy and Computing Pub Date : 2024-02-09 DOI:10.1016/j.ascom.2024.100802

Wahyu Rahmaniar , B. Ramzan , Alfian Ma'arif

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引用次数: 0

Abstract

Wormholes, hypothetical structures connecting distant regions of spacetime, have long captured the imagination of scientists and science fiction fans alike. Wormholes are a complex phenomenon with challenges that require innovative approaches and interdisciplinary investigations. In this review, we investigate the potential of deep learning and quantum algorithms to explain the implications of wormholes as an alternative to traditional analytical methods of this phenomenon. A comprehensive analysis of the current understanding of wormholes is elaborated to discuss its theoretical foundations and limitations further. Next, deep learning techniques and quantum algorithms are examined for their application in the context of wormhole research. Previous approaches and findings were discussed to evaluate the effectiveness of these computational techniques in unraveling the mysteries surrounding wormholes. Our review is expected to provide new perspectives for future research. Emphasizes the synergistic potential of deep learning and quantum algorithms in advancing our understanding of wormholes and their existence as interesting shortcuts in spacetime.

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研究虫洞可行性的深度学习和量子算法方法：综述

虫洞是连接遥远时空区域的假想结构，长期以来一直吸引着科学家和科幻小说迷的想象力。虫洞是一种复杂的现象，它所面临的挑战需要创新的方法和跨学科的研究。在这篇综述中，我们研究了深度学习和量子算法在解释虫洞含义方面的潜力，以替代对这一现象的传统分析方法。我们将全面分析目前对虫洞的理解，进一步讨论其理论基础和局限性。接下来，研究了深度学习技术和量子算法在虫洞研究中的应用。讨论了以前的方法和发现，以评估这些计算技术在揭开虫洞之谜方面的有效性。我们的综述有望为未来研究提供新的视角。强调深度学习和量子算法在推进我们对虫洞及其作为时空中有趣捷径的存在的理解方面的协同潜力。

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

Astronomy and Computing ASTRONOMY & ASTROPHYSICSCOMPUTER SCIENCE,-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

CiteScore

4.10

自引率

8.00%

发文量

期刊介绍： Astronomy and Computing is a peer-reviewed journal that focuses on the broad area between astronomy, computer science and information technology. The journal aims to publish the work of scientists and (software) engineers in all aspects of astronomical computing, including the collection, analysis, reduction, visualisation, preservation and dissemination of data, and the development of astronomical software and simulations. The journal covers applications for academic computer science techniques to astronomy, as well as novel applications of information technologies within astronomy.