# aryashah2k/Quantum-Computing-Collection-Of-Resources

A Well Maintained Repository On Quantum Computing Resources [Code+Theory] Updated Regularly During My Time At IBM, Qubit x Qubit And The Coding School's Introduction To Quantum Computing Course 21'

repo name | aryashah2k/Quantum-Computing-Collection-Of-Resources |

repo link | https://github.com/aryashah2k/Quantum-Computing-Collection-Of-Resources |

homepage | |

language | Jupyter Notebook |

size (curr.) | 48405 kB |

stars (curr.) | 29 |

created | 2020-11-11 |

license | MIT License |

# Quantum-Computing-Collection-Of-Resources

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Hello ðŸ‘‹ And Welcome To This Amazing And Well Maintained Repository On Quantum Computing Resources [Code+Theory] Updated Regularly During My Time At IBM, Qubit x Qubit And The Coding School’s Introduction To Quantum Computing Course 21'

Current and Projected Contents In This Repository:

# Guided Project on Programming a Quantum Computer With Qiskit-IBM SDK

Set of Five Tasks with Guide On Programming A Real Quantum Computer With Qiskit-IBM SDK

Task 1: Fundamentals Of Quantum Computing

Task 2: Qubits, Bloch Sphere and Basis States

Task 3: Quantum Gates and Circuits

Task 4: Multiple Qubits, Entanglement

Task 5: Bernstein-Vazirani Algorithm

# 2.CERN Practical Introduction To Quantum Computing

Lecture 1[Code + Theory]

Lecture 2[Code + Theory]

Lecture 3[Code + Theory]

Lecture 4

Lecture 5

Lecture 6

Lecture 7

# 3.Cheatsheets

List of Cheatsheets:

1.Quantum Mechanics Cheatsheet

2.Quantum Computing Cheatsheet

3.Mathematics Formula Sheets:

- Algebra Cheatsheet

- Trigonometry - 1 Cheatsheet

- Trigonometry - 2 Cheatsheet

- Calculus - Derivatives Cheatsheet

- Calculus - Integration Cheatsheet

4.Python + Useful Libraries Cheatsheets

- Python Basics Cheatsheet

- Jupyter Notebook Cheatsheet

- NumPy Cheatsheet

- Matplotlib Cheatsheet

# 4.Mathematics For Quantum Computing In Python

Python Code Implementations of Mathematics Needed For Quantum Computing Linear Algebra Programs, Complex Numbers Programs, Statistics, Trigonometry.

# 5.Quantum Machine Learning

To Be Added Soon…!