Abstract

In an earlier work [1], we introduced dual-Parameterized Quantum Circuit (PQC) Generative Adversarial Networks (GAN), an advanced prototype of quantum GAN. We applied the model on a realistic High-Energy Physics (HEP) use case: the exact theoretical simulation of a calorimeter response with a reduced problem size. This paper explores the dual-PQC GAN for a more practical usage by testing its performance in the presence of different types of quantum noise, which are the major obstacles to overcome for successful deployment using near-term quantum devices. The results propose the possibility of running the model on current real hardware, but improvements are still required in some areas.

Details

Title
Running the Dual-PQC GAN on noisy simulators and real quantum hardware
Author
Chang, Su Yeon 1 ; Agnew, Edwin 2 ; Combarro, Elías 3 ; Grossi, Michele 4 ; Herbert, Steven 5 ; Vallecorsa, Sofia 4 

 CERN Openlab , 1211 Geneva 23 , Switzerland; Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL) , 1015 Lausanne , Switzerland 
 Cambridge Quantum , Cambridge, CB2 1NL , United Kingdom 
 Department of Computer Science, University of Oviedo , 33003 Oviedo, Asturias , Spain 
 CERN Openlab , 1211 Geneva 23 , Switzerland 
 Cambridge Quantum , Cambridge, CB2 1NL , United Kingdom; Department of Computer Science and Technology, University of Cambridge , Cambridge CB2 1TN , United Kingdom 
First page
012062
Publication year
2023
Publication date
Feb 2023
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2777067461
Copyright
Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.