Quick Navigation
Topics
Trapped Ion Quantum Computing
Qudit stabiliser codes for mathbb{Z}N lattice gauge theories with matter
arXiv
Authors: Luca Spagnoli, Alessandro Roggero, Nathan Wiebe
Year
2026
Paper ID
15480
Status
Preprint
Abstract Read
~2 min
Abstract Words
128
Citations
N/A
Abstract
In this work we extend the connection between Quantum Error Correction (QEC) and Lattice Gauge Theories (LGTs) by showing that a mathbb{Z}N gauge theory with prime dimension N coupled to dynamical matter can be expressed as a qudit stabilizer code. Using the stabilizer formalism we show how to formulate an exact mapping of the encoded mathbb{Z}N gauge theory onto two different bosonic models, uncovering a logical duality generated by error correction itself. From this perspective, quantum error correction provides a unifying language to expose dual descriptions of lattice gauge theories. In addition, we generalize earlier mathbb{Z}2 constructions on qubits to mathbb{Z}N on N-level qudits and demonstrate how universal fault-tolerant gates can be implemented via state injection between compatible qudit codes.
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.
- In this work we extend the connection between Quantum Error Correction (QEC) and Lattice Gauge Theories (LGTs) by showing that a mathbbZN gauge theory with prime dimension N...
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.