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

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.