Jyothi Thomas

Department of Data Science, Christ (Deemed to be University), Kengeri, Bangalore, India

Publications

• Original Article   
  Exploring the Potential of Quantum Machine Learning in Cancer Research
  Author(s): Lalasa Mukku* and Jyothi Thomas
  
  Quantum machine learning is a rapidly emerging field that combines the principles of quantum computing with the techniques of machine learning. It uses quantum effects such as entanglement to improve the accuracy of traditional machine learning models. Quantum computing it is based on the ability of particles to exist in multiple states at the same time, allowing for the parallel processing of vast amounts of data. Quantum machine learning can be used to perform pattern recognition tasks, such as image classi ication and image segmentation, which are essential for image processing. By leveraging the power of quantum computing, quantum machine learning algorithms can process large amounts of data much more efficiently than traditional machine learning algorithms, resulting in faster and more accurate results. Additionally, quantum machine learning algorithms can improve the accuracy of.. Read More»