The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Recent Progress in Quantum Machine Learning
|
|
Author(s): Amandeep Singh Bhatia (Chitkara University Institute of Engineering and Technology, Chitkara University, Patiala, India)and Renata Wong (Nanjing University, China)
Copyright: 2021
Pages: 25
Source title:
Limitations and Future Applications of Quantum Cryptography
Source Author(s)/Editor(s): Neeraj Kumar (Babasaheb Bhimrao Ambedkar University, Lucknow, India), Alka Agrawal (Babasaheb Bhimrao Ambedkar University, Lucknow, India), Brijesh K. Chaurasia (Indian Institute of Information Technology, India)and Raees Ahmad Khan (Indian Institute of Information Technology, India)
DOI: 10.4018/978-1-7998-6677-0.ch012
Purchase
|
Abstract
Quantum computing is a new exciting field which can be exploited to great speed and innovation in machine learning and artificial intelligence. Quantum machine learning at crossroads explores the interaction between quantum computing and machine learning, supplementing each other to create models and also to accelerate existing machine learning models predicting better and accurate classifications. The main purpose is to explore methods, concepts, theories, and algorithms that focus and utilize quantum computing features such as superposition and entanglement to enhance the abilities of machine learning computations enormously faster. It is a natural goal to study the present and future quantum technologies with machine learning that can enhance the existing classical algorithms. The objective of this chapter is to facilitate the reader to grasp the key components involved in the field to be able to understand the essentialities of the subject and thus can compare computations of quantum computing with its counterpart classical machine learning algorithms.
Related Content
|
Preeti Mariam Mathews, Anjali Sandeep Gaikwad, Mathu Uthaman, B. Sreelekshmi, V. Dankan Gowda.
© 2024.
26 pages.
|
|
Dankan Gowda V., Joohi Garg, Shaifali Garg, K. D. V. Prasad, Sampathirao Suneetha.
© 2024.
20 pages.
|
|
K. Sriprasadh.
© 2024.
24 pages.
|
|
R. Valarmathi, R. Uma, P. Ramkumar, Srivatsan Venkatesh.
© 2024.
20 pages.
|
|
R. Jayashree, J. Venkata Subramanian.
© 2024.
14 pages.
|
|
M. Indira, K. S. Mohanasundaram, M. Saranya.
© 2024.
14 pages.
|
|
R. Thenmozhi, D. Vetriselvi, A. Arokiaraj Jovith.
© 2024.
26 pages.
|
|
|