10-15 March 2019
Steinmatte conference center
Europe/Zurich timezone

Application on LHC High Energy Physic data analysis with IBM Quantum Computing

Not scheduled
20m
Steinmatte conference center

Steinmatte conference center

Hotel Allalin, Saas Fee, Switzerland https://allalin.ch/conference/
Poster Track 2: Data Analysis - Algorithms and Tools Poster Session

Speaker

Wen Guan (University of Wisconsin (US))

Description

We will present our experiences and preliminary studies on LHC high
energy physics data analysis with quantum simulators and IBM quantum
computer hardware using IBM Qiskit. The performance is compared with the
results using a classical machine learning method applied to a physics
process in Higgs-coupling-to–two-top-quarks as an example. This work is a
collaboration between University of Wisconsin-Madison, CERN openlab and
IBM.

Primary authors

Sau Lan Wu (University of Wisconsin Madison (US)) Jay Chan (University of Wisconsin Madison (US)) Wen Guan (University of Wisconsin (US)) Shaojun Sun (University of Wisconsin Madison (US)) Alex Zeng Wang (University of Wisconsin Madison (US)) Chen Zhou (University of Wisconsin Madison (US)) Federico Carminati (CERN) Dr Panagiotis Barkoutsos (IBM Research Zurich) Dr Ivano Tavernelli (IBM Zurich Research Laboratory) Dr Stefan Woerner (IBM Research - Zurich) Dr Christa Zoufal (IBM Research Laboratory Zurich)

Presentation Materials

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