From Information Geometry to Quantum Theory
APA
Goyal, P. (2008). From Information Geometry to Quantum Theory. Perimeter Institute. https://pirsa.org/08110043
MLA
Goyal, Philip. From Information Geometry to Quantum Theory. Perimeter Institute, Nov. 04, 2008, https://pirsa.org/08110043
BibTex
@misc{ pirsa_PIRSA:08110043, doi = {10.48660/08110043}, url = {https://pirsa.org/08110043}, author = {Goyal, Philip}, keywords = {Quantum Foundations}, language = {en}, title = {From Information Geometry to Quantum Theory}, publisher = {Perimeter Institute}, year = {2008}, month = {nov}, note = {PIRSA:08110043 see, \url{https://pirsa.org}} }
State University of New York (SUNY)
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Abstract
The unparalleled empirical success of quantum theory strongly suggests that it accurately captures fundamental aspects of the workings of the physical world. The clear articulation of these aspects is of inestimable value --- not only for the deeper understanding of quantum theory in itself, but for its further development, particularly for the development of a theory of quantum gravity. Recently, there has been growing interest in elucidating these aspects by expressing, in a less abstract mathematical language, what we think quantum theory might be telling us about how nature works, and trying to derive, or reconstruct, quantum theory from these postulates. In this talk, I describe a simple reconstruction of the finite- dimensional quantum formalism. The derivation takes places with a classical probabilistic framework equipped with the information (or Fisher-Rao) metric, and rests upon a small number of elementary ideas (such as complementarity and global gauge invariance). The complex structure of quantum formalism arises very naturally. The derivation provides a number of non-trivial insights into the quantum formalism, such as the extensive nature of the role of information geometry in determining the quantum formalism, the importance of global gauge invariance, and the importance (or lack thereof) of assumptions concerning separated systems.