Interested in Machine Learning? Quantum Computing? Or how about merging the two together?
Throughout my time at IBM, I worked on various projects ranging from Quantum Time Evolution, Quantum Thermodynamics and Quantum Machine Learning. Looking into these, I wrote two tutorials which are given below.
The first is on Quantum Convolution Neural Networks which can be seen here. These type of networks have a huge potential in a variety of different areas, mainly due to their ability to determine complex relationships between the qubits.
The second tutorial is here about Quantum Autoencoders, which could potentially be used to compress information on a Quantum Computer, as well as store and compress information.
It's clear that Quantum Machine Learning has huge potential and this new field of Machine Learning can only expand and grow!
