Quick Navigation
Topics
Quantum Measurement State Discrimination
When asymptotic LOCC offers no advantage over finite LOCC
arXiv
Authors: Honghao Fu, Debbie Leung, Laura Mancinska
Year
2013
Paper ID
2400
Status
Preprint
Abstract Read
~2 min
Abstract Words
99
Citations
N/A
Abstract
We consider bipartite LOCC, the class of operations implementable by local quantum operations and classical communication between two parties. Surprisingly, there are operations that cannot be implemented with finitely many messages but can be approximated to arbitrary precision with more and more messages. This significantly complicates the analysis of what can or cannot be approximated with LOCC. Towards alleviating this problem, we exhibit two scenarios in which allowing vanishing error does not help. The first scenario involves implementation of measurements with projective product measurement operators. The second scenario is the discrimination of unextendible product bases on two 3-dimensional systems.
Why This Paper Matters
- This paper contributes to the Quantum Measurement & State Discrimination research area in the Quantum Articles archive.
- It adds a 2013 reference point for readers tracking recent quantum research.
- We consider bipartite LOCC, the class of operations implementable by local quantum operations and classical communication between two parties.
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.