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

Session

Workshop sessions

21 Oct 2021, 10:45

Conveners

Workshop sessions: Session 1

• Sofia Vallecorsa (CERN)

Workshop sessions: Session 2

• Jean-Roch Vlimant (California Institute of Technology (US))

Workshop sessions: Session 3

• Andrea Delgado (Oak Ridge National Laboratory)

16. Introduction

Andrea Delgado (Oak Ridge National Laboratory)

21/10/2021, 10:45

1. Keynote: Scalable Quantum Simulations of the Schwinger Model

Nathan Wiebe (University of Toronto)

21/10/2021, 10:50

2. Keynote: Quantum Computing Applications for HEP

Gabriel Perdue (Fermilab), Gabriel Perdue (Fermilab)

21/10/2021, 11:35

12. Trends in quantum machine learning based on parametrized quantum circuits

Vedran Dunjko (Leiden University)

21/10/2021, 12:45

3. Dimensional Expressivity Analysis of Parametric Quantum Circuits

Lena Funcke (Perimeter Institute)

21/10/2021, 13:15

13. Quantum speedup for track reconstruction in particle accelerators

Yasser Omar (University of Lisbon)

21/10/2021, 13:35

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

Davide Zuliani (Universita e INFN, Padova (IT))

21/10/2021, 14:05

5. Modified Layerwise Learning for Data Re-Uploading Classifier in High-Energy Physics Event Classification

Eraraya Ricardo Muten

21/10/2021, 14:45

7. Quantum Imaginary Time Evolution for Quantum Field Theories with Continuous Variables

Yeter-Aydeniz Kubra (ORNL)

21/10/2021, 15:05

8. Towards Quantum Compression in High-Energy Physics Data

Carlos A. Argüelles-Delgado (Harvard University), Jeffrey Lazar (University of Wisconsin-Madison)

21/10/2021, 15:25

9. Quantum Computing for Color Reconnection

Prasanth Shyamsundar (Fermi National Accelerator Laboratory)

21/10/2021, 15:45

10. Digital quantum simulation for screening and confinement in gauge theory with a topological term

Lento Nagano (University of Tokyo (JP))

21/10/2021, 16:05

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

Davide Zuliani (Universita e INFN, Padova (IT))

The identification of jets coming from heavy-flavor quarks, namely bottom and charm quarks, is an important and non-trivial task at the LHC experiments. The classification of jets coming from bottom and anti-bottom quarks at the LHCb experiment would allow to perform physics measurements, such as the forward-central charge asymmetry, to constrain the Standard Model predictions and/or find...

6. Quantum algorithm for the classification of supersymmetric top quark events

Pedrame Bargassa (LIP Laboratorio de Instrumentacao e Fisica Experimental de Part)

11. Quantum algorithm for the classification of supersymmetric top quark events

Pedrame Bargassa (LIP Laboratorio de Instrumentacao e Fisica Experimental de Part)

The search for supersymmetric particles is one of the major goals of the
Large Hadron Collider (LHC). Supersymmetric top searches play a very
important role in this respect, but the unprecedented collision rate to be
attained at the next high luminosity phase of the LHC poses new challenges
for the separation between any new signal and the standard model
background. Quantum computing...