Literature DB >> 29434518

Computational tameness of classical non-causal models.

Ämin Baumeler1,2, Stefan Wolf1,2.   

Abstract

We show that the computational power of the non-causal circuit model, i.e. the circuit model where the assumption of a global causal order is replaced by the assumption of logical consistency, is completely characterized by the complexity class UP∩coUP. An example of a problem in that class is factorization. Our result implies that classical deterministic closed timelike curves (CTCs) cannot efficiently solve problems that lie outside of that class. Thus, in stark contrast to other CTC models, these CTCs cannot efficiently solve NP-complete problems, unless NP=UP∩coUP=coNP, which lets their existence in nature appear less implausible. This result gives a new characterization of UP∩coUP in terms of fixed points.

Keywords:  causality; closed timelike curves; complexity theory; non-causal computation; unambiguous polynomial time

Year:  2018        PMID: 29434518      PMCID: PMC5806028          DOI: 10.1098/rspa.2017.0698

Source DB:  PubMed          Journal:  Proc Math Phys Eng Sci        ISSN: 1364-5021            Impact factor:   2.704


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Authors:  Seth Lloyd; Lorenzo Maccone; Raul Garcia-Patron; Vittorio Giovannetti; Yutaka Shikano; Stefano Pirandola; Lee A Rozema; Ardavan Darabi; Yasaman Soudagar; Lynden K Shalm; Aephraim M Steinberg
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Authors:  Lorenzo M Procopio; Amir Moqanaki; Mateus Araújo; Fabio Costa; Irati Alonso Calafell; Emma G Dowd; Deny R Hamel; Lee A Rozema; Časlav Brukner; Philip Walther
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