ELI5: Explain Like I'm 5

Quantum machine learning

Quantum machine learning is the combination of two very advanced things, quantum computing and machine learning, which makes use of the power of both to solve complex problems.

Imagine you have a bag of toys but you don't know what is inside. A classical computer, which is like a regular computer, would check each toy one by one, and then tells you what is inside. But quantum computers, which are like really cool and special computers, can check all the toys at once and tell you what is inside in just one go!

Machine learning is like a smart helper who learns and understands patterns to help us with complicated tasks. For example, if you want the machine to predict if it will rain tomorrow, it looks at data like how many times it rained in the past, humidity and temperature and then it learns patterns and can tell you if it will rain tomorrow.

Now, if we combine quantum computing and machine learning, we can solve even more complex problems with less time and less energy! It's like having a really good superhero who can solve any problem in no time at all!

Quantum machine learning is a very exciting field with many practical applications like simulation, cryptography and drug discovery.