Quick Navigation
Topics
Quantum Simulation
The fermion sign problem in Gauss law sectors of quantum link models with dynamical matter
arXiv
Authors: Pallabi Dey, Debasish Banerjee, Emilie Huffman
Year
2025
Paper ID
6040
Status
Preprint
Abstract Read
~2 min
Abstract Words
206
Citations
N/A
Abstract
The fermion sign problem poses a formidable challenge to the use of Monte Carlo methods for lattice gauge theories with dynamical fermionic matter fields. A meron cluster algorithm recently formulated for gauge fields represented as spin-frac{1}{2} quantum links coupled to a single flavour of staggered fermions samples only two of the exponentially many Gauss law (GL) sectors at low temperatures, making it possible to simulate either of those two GL sectors at zero temperature in polynomial time. In this article, we analytically identify GL sectors which can be simulated without encountering the fermion sign problem in arbitrary spatial dimensions. Using large-scale exact diagonalization and cluster Monte Carlo methods, we further explore the nature of phases in the GL sectors dominating at zero temperature. The vacuum states lie in sectors which satisfy a staggered Gauss law, in contrast to the zero GL sector familiar in particle physics. Moreover, we prove that while the ground state GL sectors do not suffer from the fermion sign problem, the usual zero-charge GL sector (often considered the physical sector) does. We outline the role of the magnetic energy in causing transitions between GL sectors. We expect our results to be valid for truncated Kogut-Susskind gauge theories, beyond quantum link models.
Why This Paper Matters
- This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
- It adds a 2025 reference point for readers tracking recent quantum research.
- The fermion sign problem poses a formidable challenge to the use of Monte Carlo methods for lattice gauge theories with dynamical fermionic matter fields.
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.