Quantum Machine Learning

Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system. While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices.

Author: Siddhartha Bhattacharyya
Publisher: de Gruyter
Published: 06/08/2020
Pages: 131
Binding Type: Hardcover
Weight: 1.05lbs
Size: 9.90h x 6.90w x 0.60d
ISBN13: 9783110670646
ISBN10: 311067064X
BISAC Categories:
- Computers | Artificial Intelligence | Computer Vision & Pattern Recognit
- Computers | Information Technology
- Computers | Data Science | Neural Networks

About the Author
Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Susanta Chakraborti, India. Elizabeth Behrman, USA