A Versatile & Adjustable 400 Node CMOS Oscillator Based Ising Machine to Investigate and Optimize the Internal Computing Principle
Markus Graber, Klaus Hofmann · 2022
Oscillator-based Ising machines (OIMs) recently grow in interest. These OIMs can solve combinatorial optimization problems formulated as an Ising model. The computation principle is based on the interaction of configurable coupled oscillators, which represent discrete states of the optimization variables by their phase. In contrast to competing implementations like quantum computers or coherent Ising machines, OIMs are based on mature, well-established and therefore highly optimized silicon technologies. This silicon based approach allows close interaction with established electronics, avoiding sophisticated measurement electronics and delicate physical structures. Obtaining a good solution, especially for large problems, is one of the major challenges for the current integrated OIMs. The here proposed system serves as a versatile experimental platform to evaluate how the OIM computation is influenced and how it can be improved. Furthermore, the platform offers new OIM capabilities with up to 6-bit weighted optimization problems, 2 to 4 discrete states partially enabling the Potts model and fast phase readout.