Quick Navigation

Overview Topics Abstract Importance Paper Tools References Reactions Discussion Publication

Topics

Quantum Optimization Open Quantum Systems Decoherence

Optimizing qubit Hamiltonian parameter estimation algorithms using PSO

arXiv
Authors: Alexandr Sergeevich, Stephen D. Bartlett

Year

2012

Paper ID

8554

Status

Preprint

Abstract Read

~2 min

Abstract Words

59

Citations

N/A

Abstract

We develop qubit Hamiltonian single parameter estimation techniques using a Bayesian approach. The algorithms considered are restricted to projective measurements in a fixed basis, and are derived under the assumption that the qubit measurement is much slower than the characteristic qubit evolution. We optimize a non-adaptive algorithm using particle swarm optimization (PSO) and compare with a previously-developed locally-optimal scheme.

Why This Paper Matters

  • This paper contributes to the Quantum Optimization research area in the Quantum Articles archive.
  • It adds a 2012 reference point for readers tracking recent quantum research.
  • We develop qubit Hamiltonian single parameter estimation techniques using a Bayesian approach.

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.

Become a member Sign in
Show Paper arXiv Publisher Share Cite This Paper Copy URL Compare Copy DOI Add to Reading List Category Correction Request

References & Citation Signals

[1] DOI https://doi.org/arXiv:1206.3830 [2] arXiv https://arxiv.org/abs/1206.3830 [3] Publisher https://arxiv.org/abs/1206.3830

Local Citation Graph (Related-Paper Links)

Current Paper #8554

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.