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)
