!
You're viewing papers too quickly. Please wait a moment.<br>This helps keep the archive available for everyone.
Quick Navigation
Topics
Quantum Algorithms
Expanding the principle of local distinguishability
arXiv
Authors: Claudio Carmeli, Teiko Heinosaari, Jussi Schultz, Alessandro Toigo
Year
2014
Paper ID
46616
Status
Preprint
Abstract Read
~2 min
Abstract Words
115
Citations
N/A
Abstract
The principle of local distinguishability states that an arbitrary physical state of a bipartite system can be determined by the combined statistics of local measurements performed on the subsystems. A necessary and sufficient requirement for the local measurements is that each one must be able to distinguish between all pairs of states of the respective subsystems. We show that if the task is changed into the determination of an arbitrary bipartite pure state, then at least in certain cases it is possible to restrict to local measurements which can distintinguish all pure states but not all states. This surprising fact gives evidence that the principle of local distinguishability may be expanded beyond its usual applicability.
Why This Paper Matters
- It adds a 2014 reference point for readers tracking recent quantum research.
- The principle of local distinguishability states that an arbitrary physical state of a bipartite system can be determined by the combined statistics of local measurements...
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.