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Entropy 2017, 19(7), 326;

Non-Causal Computation

Faculty of Informatics, Università della Svizzera italiana, 6900 Lugano, Switzerland
Facoltà indipendente di Gandria, 6978 Gandria, Switzerland
Author to whom correspondence should be addressed.
Received: 11 May 2017 / Revised: 22 June 2017 / Accepted: 30 June 2017 / Published: 2 July 2017
(This article belongs to the Special Issue Quantum Information and Foundations)
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Computation models such as circuits describe sequences of computation steps that are carried out one after the other. In other words, algorithm design is traditionally subject to the restriction imposed by a fixed causal order. We address a novel computing paradigm beyond quantum computing, replacing this assumption by mere logical consistency: We study non-causal circuits, where a fixed time structure within a gate is locally assumed whilst the global causal structure between the gates is dropped. We present examples of logically consistent non-causal circuits outperforming all causal ones; they imply that suppressing loops entirely is more restrictive than just avoiding the contradictions they can give rise to. That fact is already known for correlations as well as for communication, and we here extend it to computation. View Full-Text
Keywords: physical computing models; complexity classes; causality physical computing models; complexity classes; causality

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Baumeler, Ä.; Wolf, S. Non-Causal Computation. Entropy 2017, 19, 326.

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