Quick Navigation
Topics
Open Quantum Systems Decoherence
Computational tameness of classical non-causal models
arXiv
Authors: Ämin Baumeler, Stefan Wolf
Year
2016
Paper ID
42359
Status
Preprint
Abstract Read
~2 min
Abstract Words
135
Citations
N/A
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 operatorname{mathsf{UP}}capoperatorname{mathsf{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 operatorname{mathsf{NP-complete}} problems, unless operatorname{mathsf{NP}}=operatorname{mathsf{UP}}capoperatorname{mathsf{coUP}}=operatorname{mathsf{coNP}}, which lets their existence in nature appear less implausible. This result gives a new characterization of operatorname{mathsf{UP}}capoperatorname{mathsf{coUP}} in terms of fixed points.
Why This Paper Matters
- This paper contributes to the Open Quantum Systems & Decoherence research area in the Quantum Articles archive.
- It adds a 2016 reference point for readers tracking recent quantum research.
- 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...
Paper Tools
Become a member to use research tools
Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.
Show Paper arXiv Publisher Share
Cite This Paper
Copy URL
Compare
Copy DOI Add to Reading List
Category Correction Request
Category Correction Request
Help us improve classification quality by proposing a better category. Every request is reviewed by an admin.
Sign in to submit a category correction request for this paper.
Log In to SubmitReferences & Citation Signals
Community Reactions
Quick sentiment from readers on this paper.
Score:
0
Likes: 0
Dislikes: 0
Sign in to react to this paper.
Discussion & Reviews (Moderated)
Average Rating: 0.0 / 5 (0 ratings)
No written reviews yet.