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Generation of Pseudo-Random Quantum States on Actual Quantum Processors
The generation of a large amount of entanglement is a necessary condition for a quantum computer to achieve quantum advantage. In this paper, we propose a method to efficiently generate pseudo-random quantum states, for which the degree of multipartite entanglement is nearly maximal. We argue that t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138170/ https://www.ncbi.nlm.nih.gov/pubmed/37190395 http://dx.doi.org/10.3390/e25040607 |
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author | Cenedese, Gabriele Bondani, Maria Rosa, Dario Benenti, Giuliano |
author_facet | Cenedese, Gabriele Bondani, Maria Rosa, Dario Benenti, Giuliano |
author_sort | Cenedese, Gabriele |
collection | PubMed |
description | The generation of a large amount of entanglement is a necessary condition for a quantum computer to achieve quantum advantage. In this paper, we propose a method to efficiently generate pseudo-random quantum states, for which the degree of multipartite entanglement is nearly maximal. We argue that the method is optimal, and use it to benchmark actual superconducting (IBM’s ibm_lagos) and ion trap (IonQ’s Harmony) quantum processors. Despite the fact that ibm_lagos has lower single-qubit and two-qubit error rates, the overall performance of Harmony is better thanks to its low error rate in state preparation and measurement and to the all-to-all connectivity of qubits. Our result highlights the relevance of the qubits network architecture to generate highly entangled states. |
format | Online Article Text |
id | pubmed-10138170 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101381702023-04-28 Generation of Pseudo-Random Quantum States on Actual Quantum Processors Cenedese, Gabriele Bondani, Maria Rosa, Dario Benenti, Giuliano Entropy (Basel) Article The generation of a large amount of entanglement is a necessary condition for a quantum computer to achieve quantum advantage. In this paper, we propose a method to efficiently generate pseudo-random quantum states, for which the degree of multipartite entanglement is nearly maximal. We argue that the method is optimal, and use it to benchmark actual superconducting (IBM’s ibm_lagos) and ion trap (IonQ’s Harmony) quantum processors. Despite the fact that ibm_lagos has lower single-qubit and two-qubit error rates, the overall performance of Harmony is better thanks to its low error rate in state preparation and measurement and to the all-to-all connectivity of qubits. Our result highlights the relevance of the qubits network architecture to generate highly entangled states. MDPI 2023-04-03 /pmc/articles/PMC10138170/ /pubmed/37190395 http://dx.doi.org/10.3390/e25040607 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cenedese, Gabriele Bondani, Maria Rosa, Dario Benenti, Giuliano Generation of Pseudo-Random Quantum States on Actual Quantum Processors |
title | Generation of Pseudo-Random Quantum States on Actual Quantum Processors |
title_full | Generation of Pseudo-Random Quantum States on Actual Quantum Processors |
title_fullStr | Generation of Pseudo-Random Quantum States on Actual Quantum Processors |
title_full_unstemmed | Generation of Pseudo-Random Quantum States on Actual Quantum Processors |
title_short | Generation of Pseudo-Random Quantum States on Actual Quantum Processors |
title_sort | generation of pseudo-random quantum states on actual quantum processors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138170/ https://www.ncbi.nlm.nih.gov/pubmed/37190395 http://dx.doi.org/10.3390/e25040607 |
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