Quantum computing is a statistical modeling tool. The variables of this model are in a state of superposition whose internal state determines the probabilities of their possible outcomes. Entanglement allows the modeling of conditions between variables that cause them to interact.
But it would be hard to understand all the hype around quantum computing if it were just a statistical modeling tool. That wouldn’t explain why quantum computing has been called the most disruptive technology of the 21st century and why it’s capable of solving problems that classical computers cannot. So the pressing question is: What makes quantum computing so powerful?
Do you want to get started with Quantum Machine Learning? Have a look at Hands-On Quantum Machine Learning With Python.
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