Quick Navigation
Topics
Trapped Ion Quantum Computing
Optimal detection of dissipation in Lindbladian dynamics
arXiv
Authors: Yiyi Cai
Year
2026
Paper ID
30624
Status
Preprint
Abstract Read
~2 min
Abstract Words
146
Citations
N/A
Abstract
Experimental implementations of Hamiltonian dynamics are often affected by dissipative noise arising from interactions with the environment. This raises the question of whether one can detect the presence or absence of such dissipation using only access to the observed time evolution of the system. We consider the following decision problem: given black-box access to the time-evolution channels e^{tmathcal{L}} generated by an unknown time-independent Lindbladian mathcal{L}, determine whether the dynamics are purely Hamiltonian or contain dissipation of magnitude at least ε in normalized Frobenius norm. We give a randomized procedure that solves this task using total evolution time mathcal{O}\(ε-1\), which is information-theoretically optimal. This guarantee holds under the assumptions that the Lindblad generator has bounded strength and its dissipative part is of constant locality with bounded degree. Our work provides a practical method for detecting dissipative noise in experimentally implemented quantum dynamics.
Why This Paper Matters
- This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- Experimental implementations of Hamiltonian dynamics are often affected by dissipative noise arising from interactions with the environment.
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.