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Quantum Computing Experimentation with Amazon Braket

You're reading from Quantum Computing Experimentation with Amazon Braket Explore Amazon Braket quantum computing to solve combinatorial optimization problems

Product type Paperback

Published in Jul 2022

Publisher Packt

ISBN-13 9781800565265

Length 420 pages

Edition 1st Edition

Tools

Amazon Braket

Concepts

Quantum Computing

Author (1):

Alex Khan

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Table of Contents (19) Chapters

Preface

1. Introduction

2. Section 1: Getting Started with Amazon Braket FREE CHAPTER

3. Chapter 1: Setting Up Amazon Braket

4. Chapter 2: Braket Devices Explained

5. Chapter 3: User Setup, Tasks, and Understanding Device Costs

6. Chapter 4: Writing Your First Amazon Braket Code Sample

7. Section 2: Building Blocks for Real-World Use Cases

8. Chapter 5: Using a Quantum Annealer – Developing a QUBO Function and Applying Constraints

9. Chapter 6: Using Gate-Based Quantum Computers – Qubits and Quantum Circuits

10. Chapter 7: Using Gate Quantum Computers – Basic Quantum Algorithms

11. Chapter 8: Using Hybrid Algorithms – Optimization Using Gate-Based Quantum Computers

12. Chapter 9: Running QAOA on Simulators and Amazon Braket Devices

13. Section 3: Real-World Use Cases

14. Chapter 10: Amazon Braket Hybrid Jobs, PennyLane, and other Braket Features

15. Chapter 11: Single-Objective Optimization Use Case

16. Chapter 12: Multi-Objective Optimization Use Case

17. Other Books You May Enjoy

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Appendix: Knapsack BQM Derivation

IBM Qiskit

The Qiskit community has added a backend provider for Qiskit users that can access Amazon Braket devices. It is now possible to create your circuit in Qiskit and execute it on an Amazon Braket device. For more information on this, please review the following:

https://aws.amazon.com/blogs/quantum-computing/introducing-the-qiskit-provider-for-amazon-braket/

In order to install the libraries in your Qiskit environment, please use the following:

pip install qiskit_braket_provider

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Authors (1)

Alex Khan

Alex Khan

Alex Khan is an advisor, entrepreneur, and educator in quantum computing. He is CEO of ZebraKet, a Canadian startup in supply chain optimization using quantum methods. He has had roles at Chicago Quantum, where he co-authored papers on portfolio optimization using D-Wave, Harrisburg University where he taught quantum computing, and at QuantFi. He continues to be an advisor at QuSecure. Alex is an experienced Health IT executive. He is an engineering/physics dual major and received his BSME from Purdue University, MSME from KSU, MBA with Health Sector Management from Duke University, and a certificate in quantum computing from MITxPro. He has been recognized by The Quantum Daily as one of the 126 advisors shaping the Quantum Computing Industry.

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