Quantum Machine Learning: An Applied Approach: The Theory and Application of Quantum Machine Learning in Science and Industry

© Santanu Ganguly 2021

S. GangulyQuantum Machine Learning: An Applied Approachhttps://doi.org/10.1007/978-1-4842-7098-1_9

9. QML: Way Forward

Santanu Ganguly¹  

(1)

Ashford, UK

 

The best way to predict your future is to create it.

—Abraham Lincoln

Quantum machine learning (QML) is a cross-disciplinary subject made up of two of the most exciting research areas: quantum computing and classical machine learning.

So far, we have explored several algorithms, concepts, and insights. We can solve a problem with a classical computer, whether a laptop or a GPU cluster. There is little value in solving it by a quantum computer that is at present very, very expensive (tens of millions of dollars). The interesting question in quantum machine learning is whether ...