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

Looking into a mock inventory management problem

We will start with a mock example to show how multiple and conflicting objectives can be evaluated and resolved using a simple method. We will follow these steps:

  1. First, we will set up the multi-objective problem.
  2. Then, we will show the two competing scenarios, A and B, in code.
  3. Next, we will use the probabilistic solver we used in the previous chapter and find the optimal values using D-Wave through Amazon Braket.
  4. Finally, we will find a method that finds the maximum benefit for both objectives.

Setting up the multi-objective problem

Let’s set up the problem. In this hypothetical scenario of a retail store, the inventory manager is accountable for stocking products that are in demand and generating the most revenue for the company by ensuring enough products are in stock. The procurement manager is responsible for ensuring that the products are procured with the least amount of risk and cost from...