Quick Navigation
Topics
Open Quantum Systems Decoherence
Quantum Machine Learning
A simplified version of the quantum OTOC(2) problem
arXiv
Authors: Robbie King, Robin Kothari, Ryan Babbush, Sergio Boixo, Kostyantyn Kechedzhi, Thomas E. O'Brien, Vadim Smelyanskiy
Year
2025
Paper ID
50892
Status
Preprint
Abstract Read
~2 min
Abstract Words
42
Citations
N/A
Abstract
This note presents a simplified version of the OTOC(2) problem that was recently experimentally implemented by Google Quantum AI and collaborators. We present a formulation of the problem for growing input size and hope this spurs further theoretical work on the problem.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2025 reference point for readers tracking recent quantum research.
- This note presents a simplified version of the OTOC^(2) problem that was recently experimentally implemented by Google Quantum AI and collaborators.
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.