What can Lattice QCD theorists learn from NMR spectroscopists?
George T. Fleming (1) ((1) Jefferson Lab)
TL;DR
This paper explores how data modeling techniques from NMR spectroscopy can be applied to analyze Euclidean-time hadron correlation functions in Lattice QCD, aiming to improve understanding and extraction of physical parameters.
Contribution
It introduces the application of NMR data modeling methods to Lattice QCD data, highlighting potential cross-disciplinary insights and improvements.
Findings
NMR modeling techniques can be adapted for LQCD data analysis
Preliminary results show promising parallels between the two fields
Potential for enhanced data interpretation in LQCD
Abstract
Euclidean-time hadron correlation functions computed in Lattice QCD (LQCD) are modeled by a sum of decaying exponentials, reminiscent of the exponentially damped sinusoid models of free induction decay (FID) in Nuclear Magnetic Resonance (NMR) spectroscopy. We present our initial progress in studying how data modeling techniques commonly used in NMR perform when applied to LQCD data.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum many-body systems · Quantum Mechanics and Applications