Quantum reservoir computing for machine learning

Speaker: Alexander Stasik, Department of Mathematics and Cybernetics, SINTEF Title:  Quantum reservoir computing for machine learning Abstract: Reservoir computing and extreme learning machines are alternative approaches in machine learning. They use a random non-linear system to transform the input and only learn a linear mapping from the system output to the learning targets. This drastically… Read More »Quantum reservoir computing for machine learning

Solid-state spin qubits

Speaker: Jeroen Danon, Department of Physics, Faculty of Natural Sciences, NTNU Title: Solid-state spin qubits Abstract: In this talk I will present a (personal) view on the development of the solid-state quantum-dot-based spin qubit over the past two decades. I will discuss the main remaining challenges for creating reliable and scalable spin qubits, and I… Read More »Solid-state spin qubits