Title of talk: A generalized dominance ordering for 1/2-BPS states. Speaker: Dr Garry Kemp. Abstract: I discuss a generalized dominance ordering for irreducible representations of the symmetric group $S_{n}$ with the aim of distinguishing the corresponding states in the 1/2-BPS … Continue reading →

Title of talk: Path integral in position deformed Heisenberg algebra. Speaker: Dr Latévi M. Lawson. Abstract: The deformed Heisenberg algebra is one of the promising candidate approaches to probe quantum gravity at the Planck scale. It consists of deforming the … Continue reading →

https://qiskit.org/events/summer-school-2023/

Title of talk: Modelling non-Markovian noise in driven superconducting qubits. Speaker: Abhishek Agarwal Abstract: Non-Markovian noise can be a significant source of errors in superconducting qubits. We develop gate sequences utilising mirrored pseudoidentities that allow us to characterise and model the effects … Continue reading →

Rivan Rughubar (UCT) Approximating classical kernels on NISQ computers Abstract: The talk will aim to demonstrate how a kernel function can be approximated on a NISQ computer and to demonstrate the limitations of this method. Kernel methods are used throughout … Continue reading →

Title of talk: Analog quantum simulation of partial differential equations Speaker: Prof Nana Liu (Institute of Natural Sciences, University of Michigan- Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University  and Visiting Scholar at University of Oxford) Abstract: Quantum … Continue reading →

Title of talk: Approximating Invertible Maps by Recovery Channels: Optimality and an Analysis of Qudit Channels Speaker: Prof Nadja Bernardes (Federal University of Pernambuco, Brazil) Abstract: We investigate the problem of reversing quantum dynamics, specifically via optimal Petz recovery maps. We focus … Continue reading →

Aim of  the School: The School provides an introduction to Quantum Computing, Machine Learning for Quantum Physics, Quantum Communication and Quantum Machine Learning. Tutorials will follow lectures to put theoretical material into practice. List of Speakers and Tutors: Prof Francesco … Continue reading →