Speaker
Dániel Nagy
(Wigner Research Centre for Physics)
Description
Possibly the most influential achievements of modern computer science are the inventions of different machine learning algorithms, especially deep neural networks, which were able to solve problems that were previously intractable for computers, for example recognizing different animals on photos. On the other hand, in the last few decades we were witnessing an enormous improvement in quantum computing, especially quantum hardware developement. Combining classical machine learning methods with the power of quantum computing gives rise to a new field called quantum machine learning. We present a few quantum machine learning algorithms, which use the continuous-variable paradigm of quantum computing.
Primary author
Dániel Nagy
(Wigner Research Centre for Physics)
