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
About the Author: Bhagvan Kommadi is the founder of Architect Corner, an AI startup, and he has 20 years of industry experience ranging from large-scale enterprise development to helping incubate software product startups. He has a masters degree in industrial systems engineering from Georgia Institute of Technology and a bachelors degree in aerospace engineering from the Indian Institute of Technology, Madras. He is a member of the IFX forum, Oracle JCP, and a participant in Java Community Process.
Bhagvan founded Quantica Computacao, the first quantum computing startup in India. He has engineered and developed simulators and tools in quantum technology using IBM Q, Microsoft Q#, and Google QScript. The company's focus is developing quantum cryptographic tools to provide quantum proof data security, which will help banking institutions protect their transactions. He is now Director of Product Engineering at Value Momentum. Value Momentum has a social network for doctors (White Coats) and provides telehealth support through the Practice Plus suite of products and services.
Bhagvan has published papers and presented at IEEE, AstriCon, Avios, DevCon, PyCon, and genomics and biotechnology conferences on topics including adaptive learning, AI Coder, and more. He is a hands-on CTO who has been contributing to open source, blogs, and the latest technologies such as Go, Python, Django, node.js and Java, MySQL, Postgres, Mongo, and Cassandra. He is the technical reviewer for the book Machine Learning with TensorFlow. He has written the book Hands-On Data Structures and Algorithms with Go and Paytech and The Payment Technology Handbook for Investors, Entrepreneurs, and FinTech Visionaries.
