E-book details

Quantum Computing Experimentation with Amazon Braket. Explore Amazon Braket quantum computing to solve combinatorial optimization problems

Quantum Computing Experimentation with Amazon Braket. Explore Amazon Braket quantum computing to solve combinatorial optimization problems

Alex Khan, Matthew R. Versaggi

Ebook
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.
  • 1. Setting Up Amazon Braket
  • 2. Braket Devices Explained
  • 3. User Setup, Tasks, and Understanding Device Costs
  • 4. Writing Your First Amazon Braket Code Sample
  • 5. Using a Quantum Annealer – Developing a QUBO Function and Applying Constraints
  • 6. Using Gate-Based Quantum Computers – Qubits and Quantum Circuits
  • 7. Using Gate Quantum Computers – Basic Quantum Algorithms
  • 8. Using Hybrid Algorithms – Optimization Using Gate-Based Quantum Computers
  • 9. Running QAOA on Simulators and Amazon Braket Devices
  • 10. Amazon Braket Hybrid Jobs, PennyLane, and Other Braket Features
  • 11. Single-Objective Optimization Use Case
  • 12. Multi-Objective Optimization Use Case
  • 13. Appendix Knapsack BQM Derivation
  • Title: Quantum Computing Experimentation with Amazon Braket. Explore Amazon Braket quantum computing to solve combinatorial optimization problems
  • Author: Alex Khan, Matthew R. Versaggi
  • Original title: Quantum Computing Experimentation with Amazon Braket. Explore Amazon Braket quantum computing to solve combinatorial optimization problems
  • ISBN: 9781800564091, 9781800564091
  • Date of issue: 2022-07-29
  • Format: Ebook
  • Item ID: e_2uv0
  • Publisher: Packt Publishing