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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

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781800565265
Length 420 pages
Edition 1st Edition
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Author (1):
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Alex Khan Alex Khan
Author Profile Icon Alex Khan
Alex Khan
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Table of Contents (19) Chapters Close

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 Appendix: Knapsack BQM Derivation

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...

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