On Hydrodynamic Formulations of Quantum Mechanics and the Problem of Sparse Ontology
Aric Hackebill, Bill Poirier

TL;DR
This paper examines hydrodynamic reformulations of quantum mechanics, highlighting a structural problem called sparse ontology, and suggests that a continuous ontology may be necessary for these models to succeed.
Contribution
It reviews hydrodynamic and MIW formalisms, identifies the sparse ontology problem, and argues for the need of an essentially continuous ontology in quantum models.
Findings
Discrete hydrodynamic models face a structural difficulty called sparse ontology.
Wavefunction branching leads to thinning of fluid components in configuration space.
Continuous ontologies may be necessary for successful hydrodynamic quantum models.
Abstract
Hydrodynamic reformulations of the Schr\"odinger equation suggest an interpretation of quantum mechanics in terms of a fluid flowing on configuration space. In the discrete hydrodynamic view, this fluid is not fundamental but emerges from many underlying microscopic fluid components whose collective behavior reproduces quantum phenomena. The most developed realization of this idea is the discrete many interacting worlds (MIW) framework, in which discrete particle-like worlds interact via inter-world forces and quantum probabilities are grounded in direct world counting. But there is also an older, continuous version of MIW. After reviewing the hydrodynamic and MIW formalisms, and emphasizing some of their interpretational advantages over the Everettian Many Worlds and Bohmian approaches, we argue that all discrete hydrodynamic models face a generic structural difficulty, which we call…
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 Mechanics and Applications · Origins and Evolution of Life · Complex Systems and Dynamics
