Proceedings of the Fifteenth Annual ACM Symposium on Theory of Computing - STOC '83 1983
DOI: 10.1145/800061.808730
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Reliable computation with cellular automata

Abstract: We construct a one-dimensional array of cellular automata on which arbitrarily large computations can be implemented reliably, even though each automaton at each step makes an error with some constant probability. In statistical physics, this construction leads to the refutation of the "positive probability conjecture," which states that any one-dimensional infinite particle system with positive transition probabilities is ergodic. Our approach takes its origin from Kurdyumov's ideas for this refutation. To co… Show more

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Cited by 39 publications
(67 citation statements)
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“…Our proof borrows some techniques from [21,23,28], specifically Section 5.1 of [23]. For reader's convenience, we briefly summarize the RG decoding algorithm below (see Section VI for details).…”
Section: Appendix B: Threshold Theorem For Topological Stabilizer Codesmentioning
confidence: 99%
“…Our proof borrows some techniques from [21,23,28], specifically Section 5.1 of [23]. For reader's convenience, we briefly summarize the RG decoding algorithm below (see Section VI for details).…”
Section: Appendix B: Threshold Theorem For Topological Stabilizer Codesmentioning
confidence: 99%
“…Therefore it came as a surprise that P. Gacs constructed a model on the infinite lattice which violates the positive rates conjecture [157,158].…”
Section: Critical Phenomenamentioning
confidence: 99%
“…Among the important topics that were left out are discussions of hardware implementations of CAs (e.g., Toffoli and Margolus, 1987); reliable computation in CAs (e.g., Gacs, 1986); a larger discussion of analysis of CAs in terms of computation theory (e.g., Wolfram, 1984b, Nordahl, 1989, Moore, 1996, computation in more complex CA architectures, including three-dimensional CAs (e.g., Tsalides, Hicks, and York, 1989), CAs with real-valued states (e.g., Garzon and Botelho, 1993), and systolic arrays (e.g., Kung, 1982), and the many applications CAs and CA-like architectures have found in parallel computation.…”
Section: Resultsmentioning
confidence: 99%