How do we know what a quantum computer is good for when it hasn’t been built yet? That’s what Ph.D. candidate Casper Gyurik investigated by combining two terms you often hear: quantum computing and machine learning.
How do we know what a quantum computer is good for when it hasn’t been built yet? That’s what Ph.D. candidate Casper Gyurik investigated by combining two terms you often hear: quantum computing and machine learning.
« I try to improve machine learning techniques using quantum, » states Gyurik. Machine learning is a form of artificial intelligence in which a computer learns by itself. On normal—classical—computers, that is.
Quantum computing, on the other hand, is a groundbreaking new technique for performing computations on a quantum computer. This uses the physics of the smallest particles. « A useful version of that doesn’t exist yet, but we can already simulate it mathematically on a classical computer. »
« Great strides are made every year in building better quantum computers, » says Gyurik. « Everyone is very enthusiastic, but we don’t yet have a clear answer to the question of what we are going to do with them.
