A Signal Processing Model of Quantum Mechanics
Chris Thron, Johnny Watts

TL;DR
This paper proposes a deterministic, signal processing-inspired model of quantum mechanics that explains wavefunctions, collapse, and paradoxes through an accumulation-and-threshold process in an extra dimension, offering new interpretations and testable predictions.
Contribution
It introduces a novel signal processing-based deterministic model of quantum mechanics that addresses wavefunction interpretation, collapse, and quantum paradoxes.
Findings
Simulated a 2-slit experiment within the model
Indicated potential deviations from standard quantum mechanics
Provided a framework for extending to quantum field theory
Abstract
This paper develops a deterministic model of quantum mechanics as an accumulation-and-threshold process. The model arises from an analogy with signal processing in wireless communications. Complex wavefunctions are interpreted as expressing the amplitude and phase information of a modulated carrier wave. Particle transmission events are modeled as the outcome of a process of signal accumulation that occurs in an extra (non-spacetime) dimension. Besides giving a natural interpretation of the wavefunction and the Born rule, the model accommodates the collapse of the wave packet and other quantum paradoxes such as EPR and the Ahanorov-Bohm effect. The model also gives a new perspective on the 'relational' nature of quantum mechanics: that is, whether the wave function of a physical system is "real" or simply reflects the observer's partial knowledge of the system. We simulate the model…
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Taxonomy
TopicsQuantum Mechanics and Applications · Quantum Information and Cryptography
