Computational Models Based on Synchronized Oscillators for Solving Combinatorial Optimization Problems
Computational Models Based on Synchronized Oscillators for Solving Combinatorial Optimization Problems
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DOI:
10.1103/physrevapplied.17.064064
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发表时间:
2022-06-30
影响因子:
4.6
通讯作者:
Shukla, Nikhil
中科院分区:
文献类型:
--
作者:
Mallick, Antik;Bashar, Mohammad Khairul;Shukla, Nikhil
The equivalence between the natural minimization of energy in a dynamic system and the minimization of an objective function characterizing a combinatorial optimization problem offers a promising approach to design dynamic-system-inspired computational models and solvers for such problems. For instance, the ground-state energy of coupled electronic oscillators, under second-harmonic injection, can be directly mapped to the optimal solution of the maximum-cut problem. However, prior work has focused on a limited set of such problems. Therefore, in this work, we formulate computing models based on synchronized oscillator dynamics for a broad spectrum of combinatorial optimization problems ranging from the Max-K-Cut (the general version of the maximum-cut problem) to the traveling-salesman problem. We show that synchronized oscillator dynamics can be engineered to solve these different combinatorial optimization problems by appropriately designing the coupling function and external injection to the oscillators. Our work marks a step forward towards expanding the functionalities of oscillator-based analog accelerators and furthers the scope of dynamic system solvers for combinatorial optimization problems.