Quick Navigation

Topics

Quantum Foundations

Adaptive State Fidelity Estimation for Higher Dimensional Bipartite Entanglement

arXiv
Authors: Jun-Yi Wu

Year

2020

Paper ID

20657

Status

Preprint

Abstract Read

~2 min

Abstract Words

115

Citations

N/A

Abstract

An adaptive method for quantum state fidelity estimation in bipartite higher dimensional systems is established. This method employs state verifier operators which are constructed by local POVM operators and adapted to the measurement statistics in the computational basis. Employing this method, the state verifier operators that stabilize Bell-type entangled states are constructed explicitly. Together with an error operator in the computational basis, one can estimate the lower and upper bounds on the state fidelity for Bell-type entangled states in few measurement configurations. These bounds can be tighter than the fidelity bounds derived in [Bavaresco et.al., Nature Physics (2018), 14, 1032 1037], if one constructs more than one local POVM measurements additional to the measurement in the computational basis.

Why This Paper Matters

  • This paper contributes to the Quantum Foundations research area in the Quantum Articles archive.
  • It adds a 2020 reference point for readers tracking recent quantum research.
  • An adaptive method for quantum state fidelity estimation in bipartite higher dimensional systems is established.

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

References & Citation Signals

Local Citation Graph (Related-Paper Links)

Current Paper #20657 #69036 CARVE-Q: Quantum-Proposed, Clas... #69035 A Modular Approach to Succinct ... #69013 Quantum correlations and cohere... #68989 Quantum correlations in QBism's...

External citation index: OpenAlex citation signal

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.