Hybrid Algorithms for Medical Insights Using Quantum Computing

Author:

Kapoor Nitika1,Singh Parminder2,Kom Kusrini M.3,Bharti Vishal4

Affiliation:

1. Chandigarh University, India

2. Chandigarh Engineering College, Landran, India

3. Universty of Amikom, Indonesia

4. MMEC, Maharishi Markandeshwar, Mullana, India

Abstract

In the field of medicine, machine learning has become very important. It's helping us identify diseases better, take care of patients more personally, and improve many important parts of healthcare. With more and more medical information available, machine learning, which relies on big sets of data, can make predictions more accurate and help doctors make better decisions. This chapter looks closely at how machine learning is being used in medicine right now. It also talks about how quantum computing could change healthcare. First, it explains different ways machine learning is used and how it's being used in medicine. It talks about things like diagnosing diseases, finding new medicines, and treating patients in a way that's right for them. Then, it explores how machine learning and quantum computing could work together. Quantum computing uses special particles to do many calculations at once. This could help process medical information much faster. Quantum computing could also help simulate how molecules interact, which is important for developing new medicines.

Publisher

IGI Global

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