Quick Navigation

Topics

Trapped Ion Quantum Computing

Quantification and Control of non-Markovian Evolution in Finite Quantum Systems via Feedback

arXiv
Authors: Nicholas Chancellor, Christoph Petri, Lorenzo Campos Venuti, Anthony F. J. Levi, Stephan Haas

Year

2013

Paper ID

31642

Status

Preprint

Abstract Read

~2 min

Abstract Words

96

Citations

N/A

Abstract

We consider the unitary time evolution of continuous quantum mechanical systems confined to a cavity in contact with a finite bath of variable size. Measures for Markovianity for such finite system-bath configurations are developed in terms of Hilbert-Schmidt distances of time evolving wave packets. The relevant time scales are identified, which characterize pseudo-Markovian transient behavior, boundary scattering induced non-Markovian oscillations at intermediate times, and non-Markovian rephasing events at long time scales. It is shown how these time scales can be controlled by tunable parameters such as the bath size and the strength of the system-bath coupling.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2013 reference point for readers tracking recent quantum research.
  • We consider the unitary time evolution of continuous quantum mechanical systems confined to a cavity in contact with a finite bath of variable size.

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 #31642 #69039 SAT, MaxSAT, and SMT for QLDPC ... #69038 Physically Constrained Ensemble... #69023 Scalable Quantum Algorithms for... #69016 Solution of the Equation-of-Mot...

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.