Simulating Quantum Physics Experiments One Event at a Time

• URL: http://arxiv.org/abs/2609.14600v1
• Date: Sun, 13 Sep 2026 15:31:00 GMT
• Title: Simulating Quantum Physics Experiments One Event at a Time
• Abstract summary: Event-By-Event Simulation (EBES) is a modular, discrete-event simulation framework utilizing causally-driven Deterministic Learning Machines (DLMs)<n>EBES generates discrete data from the bottom up in a strictly localized, cause-and-effect manner.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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