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Recipe of Quantum Computing - Home
  • Quantum Information and Computation Cookbook: Recipes for Novice

Preface

  • About Jupyter-Book
    • Cookiecutter Jupyter Book
    • Code of Conduct
    • Contributing
    • Notebooks with MyST Markdown
    • Markdown Files
    • Content with notebooks
  • Matplotlib Samples

Mathematics

  • Linear Algebra
    • Complex matrix multiplication
  • Matrices
  • Decomposition
    • Cholesky decomposition
  • Optimization
    • Convex Set and Functions
    • Convex Program
    • Integer Programming
    • Semidefinite Programming (SDP)
    • SDP and Duality
    • Uncontraied optimization
    • Algorithms

Computer Science

  • Algorithms

Physics

  • Brownian motion

Quantum Information and Computation

  • Quantum Algorithms
    • Grover algorithm
    • Quantum Approximate Optimization Algorithm (QAOA)
    • Quantum Monte Carlo (QMC)
    • Quantum Simulation
    • Iterative Quantum Phase Estimation Algorithm
    • Solovay-Kitaev algorithm
  • Quantum Complexity Class
    • Polynomial Method

Reference and Appendix

  • Reference
  • Repository
  • Open issue
  • .ipynb

Reference

Reference#

https://jupyterbook.org/en/stable/content/citations.html

[1]

Alexei Yu Kitaev, Alexander Shen, Mikhail N Vyalyi, and Mikhail N Vyalyi. Classical and quantum computation. Number 47. American Mathematical Soc., 2002. ISBN 9780821832295.

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Polynomial Method

By Jue Xu

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