Panels

Quantum computing is a rapidly developing area of research and engineering aiming at applying the quantum mechanical effects for the purpose of performing computation. Quantum computers work in a fundamentally different way than their classical counterparts and are very likely to be more powerful in some areas of applications. Currently existing quantum computers have very limited capabilities due to imperfections in their implementations. Yet multiple companies invest heavily in their development and a steady progres in the quality of quantum computing platforms can be observed. The cross-section of the fields of artificial intelligence and quantum computing has become its own field of research that is being called quantum artificial intelligence. Two main areas of this field are quantum machine learning and quantum optimization. Quantum machine learning aims at, among others, to apply quantum computers for the purpose of e.g. data classification and quantum optimization deals mainly with combinatorial optimization problems based on so-called Ising models. It is not yet proven that quantum techniques in the artificial intelligence will be of any practical use but a constant stream of new research results allows to be hopeful. During the panel the current state and prospects of quantum artificial intelligence will be discussed.