- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-1332
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Benchmarking the quantum approximate optimization algorithm ; volume:19 ; number:7 ; day:2 ; month:6 ; year:2020 ; pages:1-24 ; date:7.2020
Quantum information processing ; 19, Heft 7 (2.6.2020), 1-24, 7.2020
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s11128-020-02692-8
- URN
-
urn:nbn:de:101:1-2020081722231674433813
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
2025-08-14T10:58:37+0200
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Willsch, Madita
- Willsch, Dennis
- Jin, Fengping
- De Raedt, Hans
- Michielsen, Kristel
- SpringerLink (Online service)
Ähnliche Objekte (12)
On the universality of the quantum approximate optimization algorithm
Data-driven quantum approximate optimization algorithm for power systems
Iteration-Free quantum approximate optimization algorithm using neural networks
GPU-accelerated simulations of quantum annealing and the quantum approximate optimization algorithm
Graph representation learning for parameter transferability in quantum approximate optimization algorithm
Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm
Systematic study on the dependence of the warm-start quantum approximate optimization algorithm on approximate solutions
The quantum approximate optimization algorithm - perspectives of analog compilation and incoherent evolution
Quantum approximate optimization via learning-based adaptive optimization
Angles and devices for quantum approximate optimization
Grover search inspired alternating operator ansatz of quantum approximate optimization algorithm for search problems
Garden optimization problems for benchmarking quantum annealers
On the universality of the quantum approximate optimization algorithm
Data-driven quantum approximate optimization algorithm for power systems
Iteration-Free quantum approximate optimization algorithm using neural networks
GPU-accelerated simulations of quantum annealing and the quantum approximate optimization algorithm
Graph representation learning for parameter transferability in quantum approximate optimization algorithm
Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm
Systematic study on the dependence of the warm-start quantum approximate optimization algorithm on approximate solutions
The quantum approximate optimization algorithm - perspectives of analog compilation and incoherent evolution
Quantum approximate optimization via learning-based adaptive optimization
Angles and devices for quantum approximate optimization
Grover search inspired alternating operator ansatz of quantum approximate optimization algorithm for search problems
Garden optimization problems for benchmarking quantum annealers
On the universality of the quantum approximate optimization algorithm
Data-driven quantum approximate optimization algorithm for power systems
Iteration-Free quantum approximate optimization algorithm using neural networks
GPU-accelerated simulations of quantum annealing and the quantum approximate optimization algorithm
Graph representation learning for parameter transferability in quantum approximate optimization algorithm
Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm
Systematic study on the dependence of the warm-start quantum approximate optimization algorithm on approximate solutions
The quantum approximate optimization algorithm - perspectives of analog compilation and incoherent evolution
Quantum approximate optimization via learning-based adaptive optimization
Angles and devices for quantum approximate optimization
Grover search inspired alternating operator ansatz of quantum approximate optimization algorithm for search problems