Abstract
Quantum circuit Born machines (QCBMs) and training via variational quantum algorithms (VQAs) are key applications for near-term quantum hardware. QCBM ansätze designs are unique in that they do not require prior knowledge of a physical Hamiltonian. Many ansätze are built from fixed designs. In this work, we train and compare the performance of QCBM models built using two commonly employed parameterizations and two commonly employed entangling layer designs. In addition to comparing the overall performance of these models, we look at features and characteristics of the loss landscape –connectivity of minima in particular – to help understand the advantages and disadvantages of each design choice. We show that the rotational gate choices can improve loss landscape connectivity.
| Original language | English |
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| Title of host publication | 2021 40th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2021 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665445078 |
| DOIs | |
| State | Published - 2021 |
| Event | 40th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2021 - Munich, Germany Duration: Nov 1 2021 → Nov 4 2021 |
Publication series
| Name | IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD |
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| Volume | 2021-November |
| ISSN (Print) | 1092-3152 |
Conference
| Conference | 40th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2021 |
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| Country/Territory | Germany |
| City | Munich |
| Period | 11/1/21 → 11/4/21 |
Funding
This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan. (http://energy.gov/downloads/doe-public-279 access-plan). This work was supported as part of the ASCR Testbed Pathfinder Program at Oak Ridge National Laboratory under FWP ERKJ332. This work was supported as part of the ASCR Fundamental Algorithmic Research for Quantum Computing Program at Oak Ridge National Laboratory under FWP ERKJ354. This work was partially supported as part of the ASCR QCAT Program at Oak Ridge National Laboratory under FWP #ERKJ347. EL was supported by the U.S. Department of Energy, Office of Science, Office of Workforce Development for Teachers and Scientists (WDTS) under the Science Undergraduate Laboratory Internship program. S.M. is funded in part by an NSF QISE-NET fellowship (DMR-1747426).