Please use this identifier to cite or link to this item:
http://hdl.handle.net/2289/3063
Title: | A computational model for quantum measurement |
Authors: | Srikanth, R. |
Keywords: | Quantum measurement theory quantum information processing entanglement production |
Issue Date: | Jun-2003 |
Publisher: | Springer Verlag |
Citation: | Quantum Information Processing, 2003, Vol.2, p153-199 |
Abstract: | Is the dynamical evolution of physical systems objectively a manifestation of information processing by the universe? We find that an affirmative answer has important consequences for the measurement problem. In particular, we calculate the amount of quantum information processing involved in the evolution of physical systems, assuming a finite degree of fine-graining of Hilbert space. This assumption is shown to imply that there is a finite capacity to sustain the immense entanglement that measurement entails. When this capacity is overwhelmed, the system's unitary evolution becomes computationally unstable and the system suffers an information transition (ldquocollapserdquo). Classical behavior arises from the rapid cycles of unitary evolution and information transition. Thus, the fine-graining of Hilbert space determines the location of the ldquoHeisenberg cutrdquo, the mesoscopic threshold separating the microscopic, quantum system from the macroscopic, classical environment. The model can be viewed as a probablistic complement to decoherence, that completes the measurement process by turning decohered improper mixtures of states into proper mixtures. It is shown to provide a natural resolution to the measurement problem and the basis problem. |
Description: | Restricted Access. |
URI: | http://hdl.handle.net/2289/3063 |
ISSN: | 1570-0755 1573-1332 (Online) |
Alternative Location: | http://dx.doi.org/10.1023/B:QINP.0000004123.82268.f4 |
Copyright: | 2003 Springer-Verlag |
Appears in Collections: | Research Papers (LAMP) |
Files in This Item:
File | Description | Size | Format | |
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2003 Quntinfproc.pdf Restricted Access | Restricted Access | 302.27 kB | Adobe PDF | View/Open Request a copy |
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