Quantum Computing Experimentation with Amazon Braket
By :
Quantum Computing Experimentation with Amazon Braket
By:
Overview of this book
Amazon Braket is a cloud-based pay-per-use platform for executing quantum algorithms on cutting-edge quantum computers and simulators. It is ideal for developing robust apps with the latest quantum devices.
With this book, you'll take a hands-on approach to learning how to take real-world problems and run them on quantum devices. You'll begin with an introduction to the Amazon Braket platform and learn about the devices currently available on the platform, their benefits, and their purpose. Then, you'll review key quantum concepts and algorithms critical to converting real-world problems into a quantum circuit or binary quadratic model based on the appropriate device and its capability. The book also covers various optimization use cases, along with an explanation of the code. Finally, you'll work with a framework using code examples that will help to solve your use cases with quantum and quantum-inspired technologies. Later chapters cover custom-built functions and include almost 200 figures and diagrams to visualize key concepts. You’ll be able to scan the capabilities provided by Amazon Braket and explore the functions to adapt them for specific use cases.
By the end of this book, you’ll have the tools to integrate your current business apps and AWS data with Amazon Braket to solve constrained and multi-objective optimization problems.
Table of Contents (19 chapters)
Preface
Introduction
Free Chapter
Section 1: Getting Started with Amazon Braket
Chapter 1: Setting Up Amazon Braket
Chapter 2: Braket Devices Explained
Chapter 3: User Setup, Tasks, and Understanding Device Costs
Chapter 4: Writing Your First Amazon Braket Code Sample
Section 2: Building Blocks for Real-World Use Cases
Chapter 5: Using a Quantum Annealer – Developing a QUBO Function and Applying Constraints
Chapter 6: Using Gate-Based Quantum Computers – Qubits and Quantum Circuits
Chapter 7: Using Gate Quantum Computers – Basic Quantum Algorithms
Chapter 8: Using Hybrid Algorithms – Optimization Using Gate-Based Quantum Computers
Chapter 9: Running QAOA on Simulators and Amazon Braket Devices
Section 3: Real-World Use Cases
Chapter 10: Amazon Braket Hybrid Jobs, PennyLane, and other Braket Features
Chapter 11: Single-Objective Optimization Use Case
Chapter 12: Multi-Objective Optimization Use Case
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Appendix: Knapsack BQM Derivation
Customer Reviews