Comparison of machine learning algorithms for an automated tweet identification system Martin Canaan Mafunda (UKZN) Abstract: In this study, six machine learning algorithms are trained based on 3100 tweets with either pro-Zuma, anti-Zuma or neutral sentiments. The aim of the … Weiterlesen
The Quantum Unconference brings to Stellenbosch some of my UKZN students. We will go through the drafts of their papers and their theses.
The Quantum Convolutional Neural Network (QCNN) is a quantum circuit model inspired by the architecture of Convolutional Neural Networks (CNNs). CNNs are successful because they do not need manual feature design and can learn high-level features from raw data. Neural … Weiterlesen
Abstract: The success of modern deep learning hinges on the ability to train neural networks at scale. Through clever reuse of intermediate information, backpropagation facilitates training through gradient computation at a total cost roughly proportional to running the function, rather … Weiterlesen
Prof Dario Rosa (Institute for Basic Science; University of Science & Technology, South Korea) Moving Towards Quantum Technologies: The Case of Quantum Batteries ABSTRACT Quantum batteries are quantum mechanical systems used as energy storage devices. As with many other proposed … Weiterlesen
Title of talk: Universal cooling dynamics toward a quantum critical point Speaker: Emma King (present affiliation: University of Saarland, Saarbrücken, Germany; the work I will present was done at Stellenbosch University, Stellenbosch, South Africa). Abstract: Curiosity surrounding concepts such as … Weiterlesen
https://www.youtube.com/watch?v=A7-zuKanVbQ&t=1290s
Title of talk: Quantum work statistics at strong reservoir coupling. Speaker: Dr Ahsan Nazir (University of Manchester, United Kingdom). Abstract: Calculating the stochastic work done on a quantum system while strongly coupled to a reservoir is a formidable task, requiring … Weiterlesen
Click here to register
