Graber, Markus ; Hofmann, Klaus (2024)
An integrated coupled oscillator network to solve optimization problems.
In: Communications Engineering, 3
doi: 10.1038/s44172-024-00261-w
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Solving combinatorial optimization problems is essential in scientific, technological, and engineering applications, but can be very time and energy-consuming using classical algorithms executed on digital processors. Oscillator-based Ising machines offer a promising alternative by exploiting the analog coupling between electrical oscillators to solve such optimization problems more efficiently. Here we present the design and the capabilities of our scalable approach to solve Ising and quadratic unconstrained binary optimization problems. This approach includes routable oscillator connections to simplify the time-consuming embedding of the problem into the oscillator network. Our manufactured silicon chip, featuring 1440 oscillators implemented in a 28þinspacenm technology, demonstrates the ability to solve optimization problems in 950 ns while consuming typically 319þinspaceμW per node. A frequency, phase, and delay calibration ensures robustness against manufacturing variations. The system is evaluated with multiple sets of benchmark problems to analyze the sensitivity for parameters such as the coupling strength or frequency.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2024 |
| Autor(en): | Graber, Markus ; Hofmann, Klaus |
| Art des Eintrags: | Bibliographie |
| Titel: | An integrated coupled oscillator network to solve optimization problems |
| Sprache: | Englisch |
| Publikationsjahr: | 23 August 2024 |
| Verlag: | Springer |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Communications Engineering |
| Jahrgang/Volume einer Zeitschrift: | 3 |
| DOI: | 10.1038/s44172-024-00261-w |
| Kurzbeschreibung (Abstract): | Solving combinatorial optimization problems is essential in scientific, technological, and engineering applications, but can be very time and energy-consuming using classical algorithms executed on digital processors. Oscillator-based Ising machines offer a promising alternative by exploiting the analog coupling between electrical oscillators to solve such optimization problems more efficiently. Here we present the design and the capabilities of our scalable approach to solve Ising and quadratic unconstrained binary optimization problems. This approach includes routable oscillator connections to simplify the time-consuming embedding of the problem into the oscillator network. Our manufactured silicon chip, featuring 1440 oscillators implemented in a 28þinspacenm technology, demonstrates the ability to solve optimization problems in 950 ns while consuming typically 319þinspaceμW per node. A frequency, phase, and delay calibration ensures robustness against manufacturing variations. The system is evaluated with multiple sets of benchmark problems to analyze the sensitivity for parameters such as the coupling strength or frequency. |
| ID-Nummer: | Artikel-ID: 116 |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik > Integrierte Elektronische Systeme (IES) |
| Hinterlegungsdatum: | 27 Aug 2024 13:19 |
| Letzte Änderung: | 05 Dez 2024 07:58 |
| PPN: | 52439458X |
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