Simulating Quantum Physics Experiments One Event at a Time

Abstract:This text explores the fundamental divide between empirical laboratory data and continuous theoretical physics models, framing the "quantum measurement paradox" as an ontological error, specifically E.T. Jaynes' ``mind projection fallacy'' where abstract mathematical tools like wavefunctions are mistaken for physical reality. While quantum theory successfully predicts ensemble averages, it remains inherently silent on individual, event-by-event detection statistics. To resolve these conceptual mysteries without resorting to ad-hoc explanations like wavefunction collapse, the text introduces Event-By-Event Simulation (EBES). As a modular, discrete-event simulation framework utilizing causally-driven Deterministic Learning Machines (DLMs), EBES bypasses continuous time and pre-specified probability distributions. Instead, it generates discrete data from the bottom up in a strictly localized, cause-and-effect manner. Ultimately, EBES provides a computationally efficient methodology that mirrors actual laboratory observations, modeling phenomena that lie entirely beyond the reach of standard quantum theory.

Quantum Physics (quant-ph); Computational Physics (physics.comp-ph); History and Philosophy of Physics (physics.hist-ph)

arXiv:2609.14600 [quant-ph]

(or arXiv:2609.14600v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2609.14600 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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