Both fields have seen significant advancements in recent years and have the potential to revolutionize many aspects of technology and scientific research.
Quantum machine learning algorithms can take advantage of quantum properties to process and analyze large datasets more efficiently and potentially discover patterns and insights that are difficult for classical algorithms to uncover.
For example, quantum algorithms can be used to optimize complex neural network architectures or solve combinatorial optimization problems, which are often encountered in logistics, scheduling, and resource allocation.