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Quantum Physics and Geometry

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Cover of 'Quantum Physics and Geometry'

Table of Contents

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    Book Overview
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    Chapter 1 The Use of NDVI for the Analysis of the Effect of Drought on Vegetation Productivity in the Pre-Urals Steppe Area Where a Population of the Przewalski Horse Equus Ferus Przewalskii Polj., 1881 Had Been Established
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    Chapter 1 Introduction
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    Chapter 2 Regional Information and Analytical System on Insect Biodiversity of the Baikal Region
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    Chapter 2 A Very Brief Introduction to Quantum Computing and Quantum Information Theory for Mathematicians
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    Chapter 3 Entanglement, CP-Maps and Quantum Communications
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    Chapter 3 Use of Remote Sensing Data and GIS Technologies for Monitoring Stocks of Medicinal Plants: Problems and Prospects
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    Chapter 4 Frontiers of Open Quantum System Dynamics
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    Chapter 4 Digital Herbarium Collections of the Central Siberian Botanical Garden SB RAS, Novosibirsk, Russia
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    Chapter 5 Taxonomic and Phytogeograpical Databases in Systematics of the Flowering Plant Family Umbelliferae/Apiaceae
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    Chapter 5 Geometric Constructions over ℂ $${\mathbb {C}}$$ and 𝔽 2 $${\mathbb {F}}_2$$ for Quantum Information
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    Chapter 6 The Fractal Model of the Microorganism’s Frequencies Spectrum for Determining the Diversity of the Biochemical Processes in Soil
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    Chapter 6 Hilbert Functions and Tensor Analysis
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    Chapter 7 Differential Geometry of Quantum States, Observables and Evolution
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    Chapter 7 Actualization of Herbarium Labels Information
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    Chapter 8 Ground Surveys Versus UAV Photography: The Comparison of Two Tree Crown Mapping Techniques
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    Chapter 9 Creation of Information Retrieval System on the Unique Research Collections of the Zoological Institute RAS
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    Chapter 10 The Use of Mathematical Methods in Analysis of Antibioticresistans of Microorganisms of Lake Baikal
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    Chapter 11 Mapping of Model Estimates of Phytoplankton Biomass from Remote Sensing Data
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    Chapter 12 About the Project of the Web GIS “Electronic Atlas of Bryophytes of the Republic of Bashkortostan”
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    Chapter 13 Bioclimatic Data Optimization for Spatial Distribution Models
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    Chapter 14 Forest Resources of the Baikal Region: Vegetation Dynamics Under Anthropogenic Use
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    Chapter 15 DNA Barcoding of Waldsteinia Willd. (Rosaceae) Species Based on ITS and trnH-psbA Nucleotide Sequences
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    Chapter 16 Technology of Information and Analytical Support for Interdisciplinary Environmental Studies in the Baikal Region
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    Chapter 17 Geoinformational Web-System for the Analysis of the Expansion of the Baikal Crustaceans of the Yenisei River
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    Chapter 18 Some Problems of Regional Reference Plots System for Ground Support of Remote Sensing Materials Processing
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    Chapter 19 Late Cenozoic Lagomorphs Diversity in Eurasia
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    Chapter 20 An Instrumental Environment for Metagenomic Analysis
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    Chapter 21 Experience in the Use of GIS Tools in Plant Systematics and Conservation
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    Chapter 22 Diatom Analysis Using SOQL Language Interpreter
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    Chapter 23 Database of Barguzinsky Reserve
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    Chapter 24 Development of Complex GIS Monitoring of the Angara River
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    Chapter 25 Current State and Rational Use of Landscapes in the Border Area of Mongolia and Russia
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    Chapter 26 Environmental Aspects of Urbanized Territories in the Baikal Region
Attention for Chapter 7: Differential Geometry of Quantum States, Observables and Evolution
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Chapter title
Differential Geometry of Quantum States, Observables and Evolution
Chapter number 7
Book title
Quantum Physics and Geometry
Published in
arXiv, March 2019
DOI 10.1007/978-3-030-06122-7_7
Book ISBNs
978-3-03-006121-0, 978-3-03-006122-7
Authors

F. M. Ciaglia, A. Ibort, G. Marmo, Florio M. Ciaglia, Alberto Ibort, Giuseppe Marmo, Ciaglia, F. M., Ibort, A., Marmo, G.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 47%
Professor 3 20%
Researcher 2 13%
Lecturer > Senior Lecturer 1 7%
Other 1 7%
Other 0 0%
Unknown 1 7%
Readers by discipline Count As %
Physics and Astronomy 7 47%
Mathematics 3 20%
Agricultural and Biological Sciences 2 13%
Computer Science 1 7%
Unknown 2 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 March 2019.
All research outputs
#18,671,706
of 23,133,982 outputs
Outputs from arXiv
#541,891
of 951,931 outputs
Outputs of similar age
#266,507
of 351,896 outputs
Outputs of similar age from arXiv
#14,564
of 25,637 outputs
Altmetric has tracked 23,133,982 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 951,931 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 351,896 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25,637 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.