{"title":"Firefly: A Versatile Experimental Platform for Oscillator-Based Ising Machines","authors":"Markus Graber;Klaus Hofmann","doi":"10.1109/TCSI.2024.3448531","DOIUrl":null,"url":null,"abstract":"Oscillator-based Ising machines (OIMs) are specialized in solving combinatorial optimization problems, that can be represented as the Ising model. They exploit the interaction of (integrated) electrical oscillators in a configurable network for the computation. Such systems naturally evolve towards a ground state, which forms a solution to the problem quickly and energy efficiently. This work presents the design of our 400 oscillator node chip in a 28nm technology. The focus is on the analog oscillator and coupler circuits, which determine the computing performance. Weighted optimization problems with up to 6-bit resolution can be solved within just 714ns. A comprehensive experimental analysis based on a versatile benchmark set is provided. We discuss the computation process and investigate the impact of multiple factors including the randomness of the initial oscillator phases, the frequency mismatch, the coupling strength, and the locking strength. A small range of parameters like the coupling strength and locking strength exists, which show the highest accuracy. Extensive benchmarks achieve an accuracy compared to the best-known solution of more than 94.5% for problems with equal weights and 89.8% for weighted problems. This emphasizes, that carefully designed oscillator-based Ising machines (OIMs) are not only fast, but can find solutions near the global optimum.","PeriodicalId":13039,"journal":{"name":"IEEE Transactions on Circuits and Systems I: Regular Papers","volume":"71 12","pages":"5944-5955"},"PeriodicalIF":5.2000,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Circuits and Systems I: Regular Papers","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10665921/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Oscillator-based Ising machines (OIMs) are specialized in solving combinatorial optimization problems, that can be represented as the Ising model. They exploit the interaction of (integrated) electrical oscillators in a configurable network for the computation. Such systems naturally evolve towards a ground state, which forms a solution to the problem quickly and energy efficiently. This work presents the design of our 400 oscillator node chip in a 28nm technology. The focus is on the analog oscillator and coupler circuits, which determine the computing performance. Weighted optimization problems with up to 6-bit resolution can be solved within just 714ns. A comprehensive experimental analysis based on a versatile benchmark set is provided. We discuss the computation process and investigate the impact of multiple factors including the randomness of the initial oscillator phases, the frequency mismatch, the coupling strength, and the locking strength. A small range of parameters like the coupling strength and locking strength exists, which show the highest accuracy. Extensive benchmarks achieve an accuracy compared to the best-known solution of more than 94.5% for problems with equal weights and 89.8% for weighted problems. This emphasizes, that carefully designed oscillator-based Ising machines (OIMs) are not only fast, but can find solutions near the global optimum.
期刊介绍:
TCAS I publishes regular papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes: - Circuits: Analog, Digital and Mixed Signal Circuits and Systems - Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic - Circuits and Systems, Power Electronics and Systems - Software for Analog-and-Logic Circuits and Systems - Control aspects of Circuits and Systems.