Quick Navigation
Topics
Quantum Machine Learning
Sample optimal Quantum identity testing via Pauli Measurements
arXiv
Authors: Nengkun Yu
Year
2020
Paper ID
20457
Status
Preprint
Abstract Read
~2 min
Abstract Words
36
Citations
N/A
Abstract
In this paper, we show that Θ\(poly(n\)cdotfrac{4n}{ε2}) is the sample complexity of testing whether two n-qubit quantum states ρ and σ are identical or ε-far in trace distance using two-outcome Pauli measurements.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2020 reference point for readers tracking recent quantum research.
- In this paper, we show that Θ(poly(n)cdotfrac4^nε^2) is the sample complexity of testing whether two n-qubit quantum states ρ and σ are identical or ε-far in trace distance...
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.