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 classical and quantum machine learning. Over the last few years there has also been much …

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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 simulators were originally proposed to be helpful for simulating one partial differential equation (PDE) in …

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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 on typical decoherence channels, such as dephasing, depolarizing, and amplitude damping. We illustrate how well …

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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 Petruccione Dr Yaseera Isamil Prof Ilya Sinayiskiy Ms Shivan Pillay Mr Ian David Mr Matt …

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Title of talk: Markovian Noise Modelling and Parameter Extraction Framework for Quantum Devices Speaker: Dean Brand (Stellenbosch University, South Africa) Abstract: In recent years, Noisy Intermediate Scale Quantum (NISQ) computers have been widely used as a test bed for quantum dynamics. This work provides a new hardware-agnostic framework for modelling the Markovian noise and dynamics of …

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