Superluminal signaling witness for quantum state reduction

Open Access
Authors
Publication date 12-2025
Journal Physical Review A
Article number 062202
Volume | Issue number 112 | 6
Organisations
  • Faculty of Science (FNWI) - Institute of Physics (IoP) - Institute for Theoretical Physics Amsterdam (ITFA)
  • Faculty of Science (FNWI) - Institute of Physics (IoP)
Abstract

Models for quantum state reduction address the quantum measurement problem by suggesting weak modifications to Schrödinger’s equation that have no observable effect at microscopic scales but dominate the dynamics of macroscopic objects. Enforcing linearity of the master equation for such models has long been used as a way of ensuring that modifications to Schrödinger’s equation do not introduce a possibility for superluminal signaling. In large classes of quantum-state-reduction models, however, and in particular in models employing correlated noise, formulating a master equation for the quantum state is prohibitively difficult or impossible. Here, we formulate a witness for superluminal signaling that is applicable to generic quantum-state-reduction models, including those involving correlated as well as uncorrelated noise. Surprisingly, application of the witness to known models described by linear master equations shows that they may still admit superluminal signaling, unless a particular locality condition is obeyed. In contrast, we show that the witness introduced here provides a necessary and sufficient condition for excluding superluminal signals under all circumstances. We further apply the witness to several models driven by physical, correlated noise, for which linear master equations are not analytically obtainable, and find that they allow for superluminal signaling. We suggest how specific correlated-noise models may be able to avoid it and that the witness introduced here provides a stringent guide for constructing such models.

Document type Article
Note Publisher Copyright: © (2025), (American Physical Society). All rights reserved.
Language English
Published at https://doi.org/10.1103/94hj-224f
Other links https://www.scopus.com/pages/publications/105024353080
Downloads
94hj-224f (Final published version)
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