Uncertainty principle for single particle lattice gas cellular automata models
Himanshu Agrawal

TL;DR
This paper introduces an uncertainty principle specific to single particle lattice gas cellular automata models, highlighting fundamental limits in their precision and predictability.
Contribution
It formulates a novel uncertainty principle tailored for lattice gas cellular automata, advancing understanding of their fundamental constraints.
Findings
Derived a mathematical expression for the uncertainty principle
Demonstrated implications for simulation accuracy
Identified limits on predictability in cellular automata models
Abstract
We present an uncertainty ...
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
TopicsCellular Automata and Applications · Cosmology and Gravitation Theories · Cold Atom Physics and Bose-Einstein Condensates
