Quantum Computing Solutions

Quantum Computing Solutions, INFORMATICA, Springer Nature B.V.

Sinopse

Part 1: Introduction

Chapter 1: Quantum Computing Solutions Overview

1.1 Real-Life Problems and Solutions

1.2 Solution Benefits

1.2.1 Automation of manual, semi manual processes

1.2.3 Cost Reduction and Improving Profit

1.2.3 Improving Efficiencies and reducing the defects

1.3 Solutions

1.3.1 Cryptography

1.3.2 Optimization

1.3.3 Cyber Security

 

Chapter 2: Mathematics behind Quantum Computing

2.1 Quantum Operators

2.2 Sets

2.3 Vectors

2.4 Matrices

2.5 Tensors

 

Part 2: Quantum Computing Basics

Chapter 3: Quantum SubSystems and Properties

3.1 Single Qubit System

3.2 Multiple Qubit System

3.3 Quantum States

3.4 Quantum Protocols

3.5 Quantum Operations

3.6 Quantum Transformations

 

Chapter 4: Quantum Information Processing Framework

4.1 Quantum Circuits

4.2 Quantum Communication

4.3 Quantum Noise

4.4 Quantum Error Correction

4.5 Limitations of Quantum Computing

4.6 Quantum Algorithms

4.6.1 Duetsch-Jozsa Algorithm

4.6.2 Simon's Algorithm

4.6.3 Shor's Algorithm

4.6.4 Grover's Algorithm

4.7 Quantum Subroutines

 

Chapter 5: Quantum Simulators

5.1 Quantum Languages

5.2 Qubit Measurement

5.3 Quantum Instruction Sets

5.4 Full stack Universal Quantum Simulator

5.5 Quantum Assembly Programming

5.6 Quantum Hardware Platforms

 

Part 3: Quantum Solutions

Chapter 6: Quantum Optimization Algorithms

6.1 Approximate optimization algorithms

6.2 Combinatorial Optimization

6.3 SemiDefinite Programming

6.4 Quantum NP (BQNP)

 

Chapter 7: Quantum Algorithms

7.1 Quantum Least Squares fitting

7.2 Quantum semidefinite programming

7.3 Quantum sort

7.4 Quantum Eigen Solvers

 

Chapter 8: Quantum Neural Network Algorithms

8.1 Quantum ANN

8.2 Quantum Associative Memory

8.3 Quantum Dots

8.4 Quantum Random Access Memory

8.5 Quantum GAN

 

Chapter 9: Quantum Classification Algorithms

9.1 Classifiers

9.2 Support Vector Machines

9.3 Sparse Support Vector machines

 

Chapter 10: Quantum Data Processing

10.1 Quantum K-Means

10.2 Quantum K-Medians

10.3 Quantum Clustering

10.4 Quantum Manifold Embedding

 

Chapter 11: Quantum AI Algorithms

11.1 Quantum Probability

11.2 Quantum Walks

11.3 Quantum Search

11.4 Quantum Deep Learning

11.5 Quantum Parallelism

 

Chapter 12: Quantum Solutions

12.1 Traveling Salesman Problem

12.2 Scheduling

12.3 Fraud Detection

12.4 Distribution solutions

 

Chapter 13: Evolving Quantum Solutions

13.1 Quantum Annealing

13.2 Quantum Key Distribution

13.3 Quantum Teleportation

 

Chapter 14: Next Steps

14.1 Best Practices

14.2 Case Studies

14.3 Quantum Computing News Sources

14.3 Quantum Ware - Future

Metadado adicionado por UmLivro em 02/01/2025

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