(English) 2022-09-19 NITheCS Colloquium

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Prof Stefan Lotz (North-West University & SANSA) will speak about Knowledge Discovery in Time Series Data. For further information please visit the NITheCS website To register for the webinar please click here.

(English) Public Lecture at AIMS: Francesco Petruccione, Entanglement: from Theory to Quantum Computers

Entanglement: from theory to quantum computing Francesco Petruccione (Stellenbosch University and NITheCS) Abstract: The Nobel Prize in Physics 2022 was awarded to Alain Aspect, John Clauser and Anton Zeilinger for conducting groundbreaking experiments using entangled quantum states. In this lecture, we will reconstruct the story of quantum entanglement from the early days of quantum mechanics to …

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(English) Weekly Quantum Group Webinar: Martin Canaan Mafunda, Comparison of machine learning algorithms for automated tweet identification system

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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 investigation is to compare the ML algorithm's performance on tweet identification and use the findings …

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(English) Quantum@SUN Unconfernce

Stellenbosch University, Physics Department School of Data Science and Computational Thinking, Stellenbosch

The Quantum Unconference brings to Stellenbosch some of my UKZN students. We will go through the drafts of their papers and their theses.

(English) Weekly Quantum Group Webinar: Matt Lourens, Hierarchical architecture representations for quantum convolutional neural networks

Stellenbosch University, Physics Department School of Data Science and Computational Thinking, Stellenbosch

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 Architecture Search (NAS) builds on this success by learning network architecture and achieves state-of-the-art performance. …

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(English) Webinar: Amira Abbas, The feasibility of quantum backpropagation

Stellenbosch University, Physics Department School of Data Science and Computational Thinking, Stellenbosch

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 than incurring an additional factor proportional to the number of parameters - which can now …

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(English) Quantum Colloquium: Dario Rosa, Moving Towards Quantum Technologies: The Case of Quantum Batteries

Stellenbosch University, Physics Department School of Data Science and Computational Thinking, Stellenbosch

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 quantum devices, ranging from quantum computers to quantum communication systems, they are believed to offer …

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(English) Quantum Colloquium: Emma King, Universal cooling dynamics toward a quantum critical point

Stellenbosch University, Physics Department School of Data Science and Computational Thinking, Stellenbosch

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 critical phenomena, scaling laws and universality in out-of-equilibrium settings has inspired vibrant research in the …

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