Further reading

To learn more about the topics that were covered in this chapter, take a look at the following resources:

• The full implementation of QAOA can be found in the Amazon Braket examples at https://github.com/aws/amazon-braket-examples/tree/main/examples/hybrid_quantum_algorithms/QAOA.
• The initial paper titled A Quantum Approximate Optimization Algorithm by Edward Farhi, Jeffrey Goldstone, and Sam Gutmann, introducing QAOA, can be found here: https://arxiv.org/abs/1411.4028.
• Bloch Sphere simulator: https://javafxpert.github.io/grok-bloch/.
• Code Deep Dive: Please review the code in the following functions, all of which were provided as part of the discussion in this chapter. These can be found in this book’s GitHub repository:
  • qft_inv_gate()
  • plot_results_mc()
  • matrix_to_polynomial()
  • param_tuning_example()
  • param_optimizer()
  • optimize_bqm()