Title: NITheCS Micro-School: Introduction to NumPy - Powering Your Data with Efficient Array Operations Speaker: Abbas (Omid) Hassasfar (Stellenbosch University) Abstract: In the realm of scientific computing and data analysis, having a powerful and efficient tool for numerical operations is crucial. NumPy, a fundamental library for array processing in Python, provides this power and efficiency. …
Title: NITheCS MINI-SCHOOL: An Introduction to the Quantum Simulation of Closed and Open Quantum Systems Speaker: Ian Joel David University of KwaZulu-Natal Abstract: Quantum Simulation, the emulation of quantum system dynamics with quantum computers, is an application of quantum computing which showcases a clear advantage over classical computing. This advantage arises from the inherent difficulty …
Title: NITheCS Micro-School: The Power of Pandas - Introduction to the Pandas Library Speaker: Pashlene Naidoo (Stellenbosch University) Abstract: Pandas is a powerful and flexible open-source data manipulation library for Python, designed to make data analysis fast and expressive. This micro-school will provide an introduction to the basics of Pandas, highlighting its key features. Attendees …
Title: Applications of topological algebras to quantum computing and information Speaker: Dr Martin Weigt (Nelson Mandela University) Abstract: A well-known mathematical tool that is applied to quantum computing and information is operator space theory. To be brief, completely positive linear mappings between operator spaces serve as quantum channels. Observables in a quantum system can be …
Title and abstract to be announced.
Title: NITheCS Colloquium: The role of intermolecular interactions in chemical processes and materials science Speaker: Prof Catharine Esterhuysen (Stellenbosch University) Abstract: The most challenging aspect in understanding the properties of materials in the solid state is to identify the role that intermolecular interactions play in their behaviour. For instance, molecules ("guests") are taken up into …
On Thursday, 16 January 2025, we will start our weekly Group Meetings series again.
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 …