抄録
A single-celled amoeba (a plasmodial slime mold), which exhibits complex spatiotemporal oscillatory
dynamics, has shown to be used to search for a solution to a combinatorial optimization problem.
Photoexcitation transfer phenomena in a certain quantum-dot network mediated by optical near-field
interactions generate stochastic spatiotemporal dynamics. Here we review a novel computing
architecture that exploits the spatiotemporal dynamics in the quantum-dot network to solve the
satisfiability problem, which is an NP-complete problem.
