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Modern Graph Theory Algorithms with Python

You're reading from   Modern Graph Theory Algorithms with Python Harness the power of graph algorithms and real-world network applications using Python

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781805127895
Length 290 pages
Edition 1st Edition
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Concepts
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Authors (2):
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Franck Kalala Mutombo Franck Kalala Mutombo
Author Profile Icon Franck Kalala Mutombo
Franck Kalala Mutombo
Colleen M. Farrelly Colleen M. Farrelly
Author Profile Icon Colleen M. Farrelly
Colleen M. Farrelly
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Table of Contents (21) Chapters Close

Preface 1. Part 1:Introduction to Graphs and Networks with Examples FREE CHAPTER
2. Chapter 1: What is a Network? 3. Chapter 2: Wrangling Data into Networks with NetworkX and igraph 4. Part 2: Spatial Data Applications
5. Chapter 3: Demographic Data 6. Chapter 4: Transportation Data 7. Chapter 5: Ecological Data 8. Part 3: Temporal Data Applications
9. Chapter 6: Stock Market Data 10. Chapter 7: Goods Prices/Sales Data 11. Chapter 8: Dynamic Social Networks 12. Part 4: Advanced Applications
13. Chapter 9: Machine Learning for Networks 14. Chapter 10: Pathway Mining 15. Chapter 11: Mapping Language Families – an Ontological Approach 16. Chapter 12: Graph Databases 17. Chapter 13: Putting It All Together 18. Chapter 14: New Frontiers 19. Index 20. Other Books You May Enjoy

Quantum network science algorithms

One new and promising avenue for network science algorithm development is quantum computing. Quantum computing leverages many of the advantageous properties of physics at the quantum level to improve computing power and tackle difficult problems. While there are many flavors of quantum computing, we’ll focus on qubit systems, where bits are replaced with their quantum version.

Qubits offer many advantages over bits within computing frameworks. Superposition is a property in quantum physics that allows particles, such as qubits, to exist in multiple states at the same time. Thus, whereas bits must exist in a 0 or 1 configuration, qubits can exist as a 1 and a 0 simultaneously until the qubit is measured, collapsing to the usual state of a bit. This allows for massively parallel searches for solutions.

In addition to being able to exist as a 1 and a 0 at the same time, superposition allows for fractional values where the qubit exists as...

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