The complexity of analog computation
Mathematics and Computers in Simulation
Journal of Computer and System Sciences
P systems with active membranes: attacking NP-complete problems
Journal of Automata, Languages and Combinatorics
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Guest Column: NP-complete problems and physical reality
ACM SIGACT News
Solving the Hamiltonian path problem with a light-based computer
Natural Computing: an international journal
Algorithms for quantum computation: discrete logarithms and factoring
SFCS '94 Proceedings of the 35th Annual Symposium on Foundations of Computer Science
Solving the subset-sum problem with a light-based device
Natural Computing: an international journal
A light-based device for solving the hamiltonian path problem
UC'06 Proceedings of the 5th international conference on Unconventional Computation
Evolutionary Design of Graph-Based Structures for Optical Computing
OSC '09 Proceedings of the 2nd International Workshop on Optical SuperComputing
Improvement of a System for Prime Factorization Based on Optical Interferometer
OSC '09 Proceedings of the 2nd International Workshop on Optical SuperComputing
Combinatorial Optimization Using Electro-Optical Vector by Matrix Multiplication Architecture
OSC '09 Proceedings of the 2nd International Workshop on Optical SuperComputing
An optical solution for the SAT Problem
OSC'10 Proceedings of the Third international conference on Optical supercomputing
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In this paper we summarize the existing principles for building unconventional computing devices that involve delayed signals for encoding solutions to NP-complete problems. We are interested in the following aspects: the properties of the signal, the operations performed within the devices, some components required for the physical implementation, precision required for correctly reading the solution and the decrease in the signal's strength. Six problems 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 several types of signals can be used: light, electric power, sound, electro-magnetic etc.