© 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 ...

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