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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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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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Quantum@SUN Seminar/Webinar: Dr Ryan Sweke (AIMS, SU), Should we use parameterized quantum circuits for machine learning?

Should we use parameterized quantum circuits for machine learning? Abstract: Recent years have seen an incredible interest in the use of parameterized quantum circuits (PQCs) for machine learning tasks. As of yet however, it remains unclear to what extent one can use PQC based algorithms to obtain a meaningful advantage over state-of-the-art classical methods. In …

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