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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

Assigning a device

We can assign various devices available in Amazon Braket, however, each device uses different resources. The local simulator uses the local computer resources to execute the circuit if using a remote connection.The Amazon Braket simulators TN1 and SV1 use Amazon resources. External quantum devices such those available from D-Wave, IonQ, or Rigetti use compute time on the quantum hardware housed at the respective facilities of these providers in Barnaby, Maryland, or California respectively.

Each type of device has a limit in terms of the number of qubits, the amount of circuit information it can handle, and in some cases, the depth of the circuit that it can execute. The circuit depth can be thought of as the number of columns of gate after the circuit has been converted into its low-level transpiled version. This is the version where all the gates on each qubit are packed together, as much as is feasible, using native gate operations on the hardware. Native...

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