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To tackle problems that can not be solved by current digital computers, many systems propose ideas from physics and neuroscience. The CTDS solver introduced by Ercsey-Ravasz and Toroczkai is one of such system. It solves the satisfiability problem by reducing it to a minimization of a time-varying target function. Although the possibility of an efficient electric circuit implementation of the solver has been shown, in terms of physical realizations, the solver has a problem of unbounded variations of the target function parameters. Here we propose a variant of the solver with bounded target function parameters. It includes several possible modificationsmore »
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To tackle problems that can not be solved by current digital computers, many systems propose ideas from physics and neuroscience. The CTDS solver introduced by Ercsey-Ravasz and Toroczkai is one of such system. It solves the satisfiability problem by reducing it to a minimization of a time-varying target function. Although the possibility of an efficient electric circuit implementation of the solver has been shown, in terms of physical realizations, the solver has a problem of unbounded variations of the target function parameters. Here we propose a variant of the solver with bounded target function parameters. It includes several possible modificationsmore »
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