A friendly introduction to quantum computing and quantum machine learning algorithms.
Curious about how a quantum computer actually computes and how scientists write algorithms for them?
Quantum computing has been touted with great potential in various fields. Some claims may be overly ambitious, and opinions on the feasibility of building practical machines may differ. Still, there is much to be optimistic about and to be excited for. In this session, Manuel will share his experience as a quantum algorithms researcher with a diverse scientific background-- from university to a quantum computing startup and back. He will begin with a friendly introduction to the foundations of quantum computing, and then talk about his research in quantum machine learning and generative modelling. Manuel's goal is to help develop the first practical algorithms capable of running on the earliest viable quantum computers.
Guest-Speaker
Manuel Rudolph is PhD Candidate in Physics at EPFL (École Polytechnique Fédérale de Lausanne) | Working on Quantum Machine Learning Algorithms | Laboratory of Quantum Information and Computation led by Prof. Zoë Holmes.
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