It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
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.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 CERN Openlab , 1211 Geneva 23 , Switzerland; Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL) , 1015 Lausanne , Switzerland
2 Cambridge Quantum , Cambridge, CB2 1NL , United Kingdom
3 Department of Computer Science, University of Oviedo , 33003 Oviedo, Asturias , Spain
4 CERN Openlab , 1211 Geneva 23 , Switzerland
5 Cambridge Quantum , Cambridge, CB2 1NL , United Kingdom; Department of Computer Science and Technology, University of Cambridge , Cambridge CB2 1TN , United Kingdom