Quick Navigation
Topics
Trapped Ion Quantum Computing
Lorentz covariant physical Brownian motion: Classical and quantum
arXiv
Authors: Henryk Gzyl
Year
2024
Paper ID
65485
Status
Preprint
Abstract Read
~2 min
Abstract Words
145
Citations
N/A
Abstract
In this work, we re-examine the Goldstein-Kaç velocity switching model from two points of view. On the one hand, we prove that the forward and backward Chapman-Kolmogorov equations of the stochastic process are Lorentz covariant when the trajectories are parameterized by their proper time. On the other hand, to recast the model as a quantum random evolution, we consider restating the Goldstein-Kaç model as a Hamiltonian system, which can then be quantized using the standard correspondence rules. It turns out that the density for the random quantum evolution satisfies a Chapman-Kolmogorov equation similar to that of the classical case, and therefore, it is also Lorentz covariant. We compute the average quantum variance. To finish, we verify that the quantum model is also consistent with special relativity and that transitions outside the light cone, that is, transitions between states with disjoint supports in space-time, cannot occur.
Why This Paper Matters
- This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
- It adds a 2024 reference point for readers tracking recent quantum research.
- In this work, we re-examine the Goldstein-Kaç velocity switching model from two points of view.
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.