IEEE Quantum Week 2021 Workshop: Quantum Computing for High-Energy Physics

Speaker List

• Carlos A. Argüelles-Delgado (Harvard University)
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    Towards Quantum Compression in High-Energy Physics Data

• Pedrame Bargassa (LIP Laboratorio de Instrumentacao e Fisica Experimental de Part)
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    Quantum algorithm for the classification of supersymmetric top quark events

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    Quantum algorithm for the classification of supersymmetric top quark events

• Andrea Delgado (Oak Ridge National Laboratory)
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    Introduction

• Vedran Dunjko (Leiden University)
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    Trends in quantum machine learning based on parametrized quantum circuits

• Lena Funcke (Perimeter Institute)
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    Dimensional Expressivity Analysis of Parametric Quantum Circuits

• Yeter-Aydeniz Kubra (ORNL)
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    Quantum Imaginary Time Evolution for Quantum Field Theories with Continuous Variables

• Jeffrey Lazar (University of Wisconsin-Madison)
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    Towards Quantum Compression in High-Energy Physics Data

• Eraraya Ricardo Muten
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    Modified Layerwise Learning for Data Re-Uploading Classifier in High-Energy Physics Event Classification

• Lento Nagano (University of Tokyo (JP))
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    Digital quantum simulation for screening and confinement in gauge theory with a topological term

• Yasser Omar (University of Lisbon)
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    Quantum speedup for track reconstruction in particle accelerators

• Gabriel Perdue (Fermilab)
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    Keynote: Quantum Computing Applications for HEP

• Gabriel Perdue (Fermilab)
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    Keynote: Quantum Computing Applications for HEP

• Prasanth Shyamsundar (Fermi National Accelerator Laboratory)
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    Quantum Computing for Color Reconnection

• Nathan Wiebe (University of Toronto)
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    Keynote: Scalable Quantum Simulations of the Schwinger Model

• Davide Zuliani (Universita e INFN, Padova (IT))
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    First implementation of Quantum Machine Learning algorithms for b-jet tagging at LHCb

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    First implementation of Quantum Machine Learning algorithms for b-jet tagging at LHCb