You're viewing papers too quickly. Please wait a moment.<br>This helps keep the archive available for everyone.

Quick Navigation

Topics

Quantum Algorithms

Alternate Forms of the T-Matrix in Quantum State Tomography

arXiv
Authors: Ramesh Bhandari

Year

2014

Paper ID

48347

Status

Preprint

Abstract Read

~2 min

Abstract Words

100

Citations

N/A

Abstract

In this paper, we focus on alternate forms of the T-matrix used in the Maximum Likelihood Estimate (MLE) procedure for fitting the experimental data collected in quantum state tomography experiments. In particular, we analyze the single quantum state tomography case, deriving in the process three new valid alternate forms for achieving optimality. These alternative forms then serve as a consistency check, thus enhancing the robustness of the MLE fitting process. One form, in particular, serves as a useful compliment to the standard form normally employed. We subsequently provide a generalization of these forms to the case of multiqubit state tomography.

Why This Paper Matters

  • It adds a 2014 reference point for readers tracking recent quantum research.
  • In this paper, we focus on alternate forms of the T-matrix used in the Maximum Likelihood Estimate (MLE) procedure for fitting the experimental data collected in quantum state...

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 #48347 #69983 Spectral Leakage and Masking Ef... #69982 Dimensionality Reduction of QAO... #69981 A Hybrid Quantum-Classical Appr... #69980 Complexity Inequalities for Qua...

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.