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Cambridge University Press eBooks

Semiclassical conceptual models

Lorenzo J. Curtis

Published Oct 30, 2003• 0 citations
Publisher
DOI
10.1017/cbo9780511755552.003

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This chapter focuses on canonical quantum gravity and discusses how many conceptual problems, such as the measurement problem and the problem of time, can be overcome by adopting a Bohmian point of view. It shows that a significant progress can be made by considering the canonical quantization of gravity from the Bohmian point of view. The chapter highlights some important properties that will also be used in the context of quantum gravity. It explores the conceptual problems that appear when trying to interpret the theory in the context of orthodox quantum theory. The chapter describes Bohmian quantum gravity and explains how it solves the conceptual problems and minisuperspace models. It also shows how the problem of the quantum-to-classical limit in inflationary and bouncing models is solved. The chapter provides a new approach to semiclassical gravity, which treats gravity classically and matter quantum mechanically, based on Bohmian mechanics.
The following work is motivated by the conceptual problems associated with the wave-particle duality and the notion of the photon. Two simple classical models for radiation from individual emitters are compared, one based on sines with random phasejumps, another based on pulse trains. The sum signal is calculated for a varying number of emitters. The focus lies on the final signal's statistical features quantified by means of the temporal coherence function and the temporal coherence length. We show how these features might be used to experimentally differentiate between the models. We also point to ambiguities in the definition of the temporal coherence length.
The following work is motivated by the conceptual problems associated with the wave‐particle duality and the notion of the photon. Two simple classical models for radiation from individual emitters are compared, one based on sines with random phasejumps, another based on pulse trains. The sum signal is calculated for a varying number of emitters. The focus lies on the final signal’s statistical features quantified by means of the temporal coherence function and the temporal coherence length. We show how these features might be used to experimentally differentiate between the models. We also point to ambiguities in the definition of the temporal coherence length.