Background: Cancer is a leading cause of death worldwide. Machine learning (ML) and
quantum computers (QCs) have recently advanced significantly. Numerous studies have …

Quantum technologies have become powerful tools for a wide range of application
disciplines, which tend to range from chemistry to agriculture, natural language processing …

Due to the primary advantage of reduced time complexity, quantum machine learning (QML)
is becoming so popular nowadays. Another technique that integrates the concepts of both …

Quantum Computing (QC) has come into view as an emerging technology. Machine
Learning (ML) and QC have become ubiquitous in recent years. This study has focused on …

Background Quantum computing integrated with machine learning (ML) offers novel
solutions in various fields, including healthcare. The synergy between quantum computing …

Quantum computing (QC) stands apart from traditional computing systems by employing
revolutionary techniques for processing information. It leverages the power of quantum bits …

Machine learning is playing a very significant role to process voluminous data and its
classification in a variety of domains. Due to better performance and rapid development in …

Ovarian cancer prediction models or algorithms estimate a person's risk of getting the
disease based on different variables, such as their medical history, genetics, and …

This paper outlines an extensive analysis of an emerging concept of QML and provides a
panoramic view of its disruptive power within machine learning. The quantum computing …

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