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What is Quantum Machine Learning

Chapter 6
Technology Road Mapping for Quantum Computing and Engineering
Quantum machine learning (QML) is built on two concepts: quantum data and hybrid quantum-classical models.
Published in Chapter:
The Potential of Quantum Computing in Healthcare
Prisilla Jayanthi (St. Joseph's Degree and PG College, India), Bharatendra K. Rai (Charlton College of Business, University of Massachusetts, Dartmouth, USA), and Iyyanki Muralikrishna (Smart Village Movement in Alliance with Berkeley HAAS, Hyderabad, India)
Copyright: © 2022 |Pages: 21
DOI: 10.4018/978-1-7998-9183-3.ch006
Abstract
The need for IR4 technologies with faster and accurate results for huge health datasets is required. Healthcare has made a lot of advancements with technologies and has certain issues in terms of carbon emission. This in turn sets the patient's life in risk. The study proposes a model for all the healthcare sectors. The study deals with the various quantum neural networks implemented on diabetes retinopathy and COVID-19 images. The quantum computing model outperformed all other machine learning and deep learning models giving more accurate results in less time. The revolution of quantum computing has proven the healthcare in diabetes retinopathy and COVID-19 detection to be faster. It can henceforth be implemented for early warning of the diseases and provide treatment for the patients.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Chapter 4
A Taxonomy of Quantum Computing Algorithms: Advancements and Anticipations
Quantum machine learning is the integration of quantum algorithms into machine learning programs. Quantum algorithms can be used to analyze quantum states instead of analyzing classical data. Furthermore, quantum algorithms can be used to analyze quantum states instead of classical data. These routines can be more complex in nature and executed more quickly on a quantum computer.
Published in Chapter: A Taxonomy of Quantum Computing Algorithms: Advancements and Anticipations; From: Technology Road Mapping for Quantum Computing and Engineering
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 7
Quantum Software Engineering and Technology
Is the integration of quantum algorithms within machine learning programs. The most common use of the term refers to machine learning algorithms for the analysis of classical data executed on a quantum computer, i.e. quantum-enhanced machine learning.
Published in Chapter: Quantum Software Engineering and Technology; From: Technology Road Mapping for Quantum Computing and Engineering
Full Text Chapter Download: US $37.50 Add to Cart
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