Machine Learning for Quantum Computing

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• Professor Florian Marquadt Director of the Max Planck Institute for the Science of Light, Erlange, Germany
• Thursday 15 February 2024, 14:00-15:30
• Computer Lab, FW11.

If you have a question about this talk, please contact Katie Light.

Join us for an Accelerate Programme for Scientific Discovery seminar on Thursday 15 February from 2.00pm – 3:30pm in Seminar Room FW11 in the William Gates Building.

Professor Florian Marquadt Director of the Max Planck Institute for the Science of Light, Erlange, Germany

Title: “Machine Learning for Quantum Computing” Abstract: Quantum computing promises substantial acceleration of certain computational tasks. However, building quantum computers is difficult, not least because of the fragility of quantum information subject to noise. Classical machine learning can help to design better quantum computing protocols. In this talk, I will sketch our insights into how reinforcement learning can discover better strategies, e.g. for quantum error correction.

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This talk is part of the ML@CL Ad-hoc Seminar Series series.

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