Book Image

Quantum Computing Experimentation with Amazon Braket

By : Alex Khan
5 (1)
Book Image

Quantum Computing Experimentation with Amazon Braket

5 (1)
By: Alex Khan

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)
1
Introduction
Free Chapter
2
Section 1: Getting Started with Amazon Braket
7
Section 2: Building Blocks for Real-World Use Cases
13
Section 3: Real-World Use Cases

Getting results from different QUBO samplers

One advantage of using the QUBO method is that once the matrix has been created, any QUBO solver can be used to find the minimum energy solution. However, there are some nuances that you must be aware of. In the case of D-Wave, the function we will use converts the matrix into the BQM and then sends it to the Amazon Braket D-Wave device. In the case of sending the QUBO to Rigetti, the function must create the quantum circuit and then optimize the QAOA parameters. Also, the circuit for Rigetti is slightly different because it does not utilize ZZ gates; instead, it uses a combination of CX and CZ gates. For now, it is only necessary to know that these differences exist and have been encapsulated within the solver functions we will use here. If you are interested in diving into how to prepare each matrix for the specific solver, as well as how to interpret the results, please review the various functions.

Now, let’s solve the Knapsack...