https://github.com/pockerman/quantum_computing_cs

Quantum computing notes
https://github.com/pockerman/quantum_computing_cs

notes python quantum-algorithms quantum-computing quantum-information quantum-machine-learning quantum-mechanics

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Quantum computing notes

• Host: GitHub
• URL: https://github.com/pockerman/quantum_computing_cs
• Owner: pockerman
• Created: 2021-01-05T16:40:27.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2021-04-14T14:43:46.000Z (over 3 years ago)
• Last Synced: 2023-03-06T05:37:21.074Z (almost 2 years ago)
• Topics: notes, python, quantum-algorithms, quantum-computing, quantum-information, quantum-machine-learning, quantum-mechanics
• Language: Jupyter Notebook
• Homepage:
• Size: 620 KB
• Stars: 1
• Watchers: 0
• Forks: 0
• Open Issues: 19
• Metadata Files:
  • Readme: README.md

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README

        
# pyq



This is my set of notes for learning quantum computing. These notes have been produced using a variety of sources. However, the main references used are

1. Noson Y. Yanofsky, Mirco A. Mannucci, ```Quantum Computing for Computer Scientists```, Cambridge University Press.

2. Michael A. Nielsen, Isaac L. Chuang. ```Quantum Computation and Quantum Information```, Cambridge University Press.

3. Jack D. Hidary, ```Quantum Computing: An Applied Approach```, Springer.

4. Eleanor Rieffel, Wolfgang Polak, ```Quantum Computing: A Gentle Introduction```, The MIT Press.

Primarily, these notes follow the first book and use other sources for further explaining points and/or fill missing details.

I use Python to both solve the exercises as well as the examples in the first book.

---

**Remark**

Note that this is work in progress. Although I try to give the credit needed, I may miss some points. 

This is not done deliberately. Let me know if you identify places where your work has not been properly acknowledged.

---

## Contents

- Complex numbers

- Quantum hardware

- Quantum algorithms

## Building ```jupyter-book```

Assuming that you have jupyter-book installed you can generate

and html version of the notebooks by issuing on the top level directory the following

```

jupyter-book build notes/

```

The command above will create a ```notebooks/_build``` directory.  Note that you make have to copy the ```imgs/``` into the  

```notebooks/_build```

## References & Videos

1. Online introductory lectures on quantum computing from 6 November

2. Quantum Computing for Computer Scientists

3. Steven Girvin - The Race to Build Quantum Computers (February 12, 2020)

4. Quantum Physics Full Course | Quantum Mechanics Course | Part 1

5. Quantum Physics Full Course | Quantum Mechanics Course | Part 2

6.  Quantiki Quantum Information Portal and Wiki

7. Qiskit: Introduction to quantum computing and quantum hardware