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In this paper we summarize the existing principles for buildingunconventional computing devices that involve delayed signals for encodingsolutions to NP-complete problems. We are interested in the following aspects:the properties of the signal, the operations performed within the devices, somecomponents required for the physical implementation, precision required forcorrectly reading the solution and the decrease in the signal's strength. Sixproblems have been solved so far by using the above enumerated principles:Hamiltonian path, travelling salesman, bounded and unbounded subset sum,Diophantine equations and exact cover. For the hardware implementation severaltypes of signals can be used: light, electric power, sound, electro-magneticetc.

Solving NP-complete problems with delayed signals: an overview of current research directions