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Introduction to Quantum Computing, Quantum Machine Learning and Optimization

→ Europe/Zurich
31/3-004 - IT Amphitheatre (CERN)

31/3-004 - IT Amphitheatre

CERN

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Carla Sophie Rieger (Technische Universitat Munchen (DE)), Ema Puljak (Universitat Autonoma de Barcelona (ES)), Giulio Crognaletti
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    • 13:30 → 14:30
      Basics of quantum computing (theory) 1h

      Abstract

      In this basic introduction to quantum computing, the underlying mathematical concepts will be presented together with quantum mechanical phenoma of interest such as superposition and entanglement in order to enable the understanding of basic quantum circuits.

      Bio

      Ema is a computer scientist pursuing PhD in physics at CERN and Universitat Autonoma de Barcelona, specializing in quantum and quantum-inspired algorithms for anomaly detection with applications in high-energy physics and medical imaging.

      Speaker: Ms Ema Puljak (Universitat Autonoma de Barcelona (ES))
      Basics_Quantum_Computing.pdf
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    • 14:30 → 15:30
      Quantum computing hands-on 1h

      Abstract

      In this hands-on session a general introduction to the Pennylane python framework for quantum computing will be given, with particular focus on the practical implementation and simulation of basic quantum circuits.

      Bio

      Giulio is a PhD student in Physics at the University of Trieste, specializing in quantum computing, with a particular interest in the trainability of variational quantum algorithms and quantum machine learning.

      Speaker: Giulio Crognaletti
      Quantum computing hands-on.ipynb
    • 15:30 → 16:30
      Quantum Optimization and Quantum Machine Learning 1h

      Abstract

      This talk introduces the fundamental concepts of quantum machine learning (QML). In the realm of parametrised quantum circuits, embedding of classical data and parameter optimization methods as part of the general data processing pipeline for quantum networks are being discussed. Furthermore, possible advantages and challenges in the QML domain are considered and the presentation concludes with examples of CERN specific use-cases.

      Bio

      Carla is a theoretical physicist specializing in quantum computing and quantum algorithms. With a master's degree from ETH Zurich, Carla is currently pursuing a Ph.D. at CERN with TUM, focusing on quantum algorithms for combinatorial problems and efficient classical simulability of quantum circuits

      Speaker: Carla Sophie Rieger (Technische Universitat Munchen (DE))
      CERN_summer_student_lecture_qml_optimization_2024.pdf
      Recording
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