Описание
Quantum Computing Solutions. Solving Real-World Problems Using Quantum Computing and Algorithms
Артикул Маркета
102175476626
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Quantum Computing Solutions. Solving Real-World Problems Using Quantum Computing and Algorithms
Пэй
4 678 ₽
–78%
Доставка Маркета
24 сен, по клику 0 ₽
Москва
24 сен, пункт выдачи 0 ₽
Москва
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Т8 Издательские Технологии
Магазин
19Kзаказов
585подписчиков
6лет на Маркете
О товаре
Описание
Печатная книга «Quantum Computing Solutions. Solving Real-World Problems Using Quantum Computing and Algorithms» в мягкой обложке, язык - английский. В книге 320 страниц, она напечатана на белой офсетной бумаге плотностью 80 г/м². Формат издания — 165x235 мм. Все книги аккуратно упаковываем в прочный трёхслойный непрозрачный картонный конверт.
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
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
Характеристики
Артикул Маркета
102175476626
Внешний вид товаров и/или упаковки может быть изменён изготовителем и отличаться от изображенных на Яндекс Маркете.Возрастное ограничение 18+
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