Quick Navigation

Topics

Quantum Simulation Quantum Foundations

Bell Experiments Revisited: A Numerical Approach Based on De Broglie--Bohm Theory

arXiv
Authors: Tim Dartois, Signe Seidelin, Aurélien Drezet

Year

2026

Paper ID

35792

Status

Preprint

Abstract Read

~2 min

Abstract Words

107

Citations

0

Abstract

We present a complete and rigorous model of an EPR--Bell-type experiment within the framework of the de Broglie--Bohm theory. The purpose of this work is to show explicitly how a deterministic hidden-variable theory can reproduce all quantum-mechanical predictions, including the violation of Bell inequalities. Combining analytical arguments with numerical simulations, our approach offers a unified and transparent illustration of the central ingredients of de Broglie--Bohm theory, including particle trajectories, spin dynamics, and quantum entanglement. The model is designed to be pedagogical and self-contained, making it suitable for readers seeking a concrete understanding of how a nonlocal hidden-variable theory can describe the EPR--Bell experiment and illustrate Bell's theorem.

Why This Paper Matters

  • This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
  • It adds a 2026 reference point for readers tracking recent quantum research.
  • We present a complete and rigorous model of an EPR--Bell-type experiment within the framework of the de Broglie--Bohm theory.

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

References & Citation Signals

Local Citation Graph (Related-Paper Links)

Current Paper #35792 #68474 Concentration-Free Quantum Kern... #68471 von Neumann measurement and qua... #68467 Hong-Ou-Mandel interference of ... #68466 Uncloneable Encryption from Dec...

External citation index: OpenAlex citation signal • updated 2026-06-11 06:22:12

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.