Today's cities are facing increasingly complex challenges. The growing uncertainty and
complexity—caused by the unremitted differentiation of social, environmental, and …

Quantum Machine Learning: Exploring Quantum Algorithms for Enhancing Deep Learning
Models Page 1 International Journal of Advanced Engineering Research and Science (IJAERS) …

Nowadays, quantum machine learning is attracting great interest in a wide range of fields
due to its potential superior performance and capabilities. The massive increase in …

The combination of blockchain technology with quantum computing has opened up new
doors for improving the safety and effectiveness of a diverse variety of business sectors. The …

The present study aims to examine the real-world implications of Grover's algorithm,
specifically focusing on its quadratic speedup in contrast to classical linear search …

The two emerging technologies are machine learning and artificial intelligence, and as we
all know, quantum computing is one of the most revolutionary developments in technology …

Authentication is the foremost requirement for any online secure transaction. In post
quantum era, public key encryption is considered no longer a safe option. The research is …

Abstract Quantum Machine Learning (QML) is an advanced discipline that emerges from the
combined power of machine learning and quantum computing that has the ability to address …

This study provides a comprehensive review of the advancements, challenges, and potential
implications of quantum computing in the field of big data analytics. The primary objective is …

Machine Learning (ML) has been extensively utilized in various scientific and engineering
domains. But the inherent constraints and computational complexity that arise in classical …