Bytes on "Quantum Computing": We know that all applications of algorithms that can be grouped under artificial intelligence rely on very large data sets. And one of the drivers of AI applications in recent years has been reduced cost for the hardware that makes large-scale computation possible. AI is a different paradigm for software and computation, and many companies have been experimenting with different types of computing infrastructures. For example, IBM Watson has its own proprietary technology that powers its Watson suite that is an alternative to traditional digital computing.
Source: The Star