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

Summary of results

You must consider the following when deciding which QPU can be used for calculations:

  • The number of qubits needed for the problem and the qubit limit of the device
  • The speed of execution (processing time and the time in the queue)
  • The minimum number of shots required for accurate results versus the shot limit of the device
  • The quality of the results that’s expected based on the errors of the device
  • The quadratic terms in the matrix (full versus sparse matrix) and the qubit’s interconnectivity
  • The cost of execution that was evaluated based on the execution time or the number of shots
  • The probabilistic versus exact result requirement to decide between measurements (shots) versus state vector results or a classical solver
  • Gate-based versus quantum annealing (also known as gate-based simulator versus simulated annealer)
  • The availability of the device (review the schedule when certain quantum devices are available...