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Updated in [September 05th, 2023]

Skills and Knowledge Acquisition:

1. Quantum Mechanics Fundamentals: Gain a foundational understanding of quantum mechanics, exploring concepts like dual nature, superposition, and quantum entanglement.
2. Classical Bits vs. Quantum Bits (Qubits): Learn the distinctions between classical bits and qubits, grasping how qubits leverage quantum properties for computation.
3. Quantum Computing Structure: Explore the structure of quantum computers and how qubits are managed within them.
4. Scalars, Vectors, and Matrices: Understand the use of scalars, vectors, and matrices to represent quantum states.
5. Quantum Gates: Dive into quantum gates, including classical gate types, their operations, and quantum equivalents.
6. Quantum Frameworks: Survey quantum frameworks developed by leading companies and their strengths and weaknesses.
7. Setting Up the Environment: Learn how to set up a Python environment using Anaconda for quantum programming.
8. Introduction to Qiskit: Install and test IBM's Qiskit framework, a powerful tool for quantum programming.
9. Coding Quantum Circuits: Create your first quantum circuit using the Pauli X gate, customize inputs and outputs, and validate operations.
10. Real Quantum Computer Access: Utilize IBM Quantum Experience to run your quantum circuits on real quantum hardware.
11. Matrix Representation: Explore the matrix representation of quantum gates using Dirac notation.
12. Pauli Y and Z Gates: Implement Pauli Y and Z gates, investigate their state vectors, and experiment in both simulators and real quantum computers.
13. Eigenvalues and Eigenvectors: Learn about the eigenvalues and eigenvectors of Pauli gates.
14. Hadamard Gate (H Gate): Discover the Hadamard gate's role in creating superposition and replicate X gate operations using H and Z gates.
15. Measurement and Superposition Collapse: Investigate superposition collapse upon measurement.
16. Advanced Quantum Gates: Explore additional quantum gates, including R Phi, S, T, U, and I gates, their transition matrices, and operations.
17. Multi-Qubit Operations: Represent and manipulate multi-qubit states using qiskit-notebook and implement multi-qubit circuits.
18. Controlled NOT (CNOT) Gate: Master the CNOT gate, truth tables, and equivalent circuits.
19. Identity Circuits and Equivalence: Create identity circuits and equivalent circuits using CNOT gates and other gates.
20. SWAP Gate and Toffoli Gate: Explore the SWAP gate and create equivalence circuits for the Toffoli gate (CCNOT gate).
21. Quantum Algorithms: Delve into the Deutsch-Jozsa algorithm (DJ algorithm) to understand quantum parallelism.
22. Quantum Cryptography (QKD): Discover Quantum Key Distribution (QKD) and its cryptographic applications.
23. Quantum Teleportation: Learn about quantum teleportation as a method for transferring quantum information.

Contribution to Professional Growth:

- Foundational Quantum Knowledge: Develop a strong foundation in quantum computing, positioning yourself for a future in this transformative field.
- Hands-On Quantum Programming: Acquire practical experience with quantum programming using IBM Qiskit, enhancing your coding skills.
- Interdisciplinary Skills: Combine quantum computing with Python programming, expanding your interdisciplinary capabilities.
- Quantum Technology: Prepare for opportunities in quantum technology, a rapidly evolving field with vast potential.
- Real Quantum Experience: Gain hands-on experience with real quantum computers through IBM Quantum Experience.
- Value-Added Certificate: Receive a course completion certificate to bolster your professional portfolio.
- Future-Ready: Position yourself at the forefront of technology trends by mastering the basics of quantum computing.

Suitability for Preparing Further Education:

- Advanced Quantum Studies: Lay a solid foundation for advanced studies in quantum computing, quantum algorithms, and quantum information theory.
- Quantum Computing Careers: Prepare for a career in quantum computing, quantum software development, or quantum research.
- Academic Pursuits: Ideal for individuals considering further academic studies or research in quantum computing.
- Quantum Technology Fields: Explore opportunities in industries embracing quantum technology, such as finance, healthcare, and materials science.
- Data Science Integration: Complement data science skills with quantum computing, unlocking new possibilities in data analysis and machine learning.

Course Syllabus

Course Introduction and Table of Contents

Introduction to Quantum Mechanics

Classical Bit vs Quantum Qubit

Creating, Retaining and Reading out Qubits

Vector and Matrix Quantum States

Classic Logic Gates Overview

Popular Quantum Frameworks

Installing Anaconda Python Distribution

Installing and Testing Qiskit

Pauli X-gate in Qiskit

Pauli X-gate input and output customizations

Pauli X-gate in Real IBM Quantum Computer

Pauli Matrixes as State Vectors

Pauli Y-gate Operations

Pauli Z-gate

Eigen Vectors of XYZ gates

Hadamard Gate Introduction

Hadamard Gate in Qiskit

Hadamard Gate Exercises

H gate in Real Quantum Computer

R phi Gate

S and T Gates

U and I Gates

Multi Qubit states introduction

Representing Multi Qubit States

Multi Qubit Circuit using Single Qubit Gates - sample circuit 1

Multi Qubit Circuit using Single Qubit Gates - sample circuit 2

CNOT gate with classical Qubits

CNOT gate with control qubit superposition

CNOT gate with control qubit superposition - In Real Quantum Computer

CNOT gate with both qubit superposition

CNOT gate with both qubit superposition target x

CNOT Circuit Identities

CZ Circuit Identity

CY Circuit Identity

SWAP Circuit Identity

Toffoli Gate

Toffoli Circuit Identity

DJ Problem Overview

DJ Algorithm Design

DJ Algorithm Implementation

Quantum Cryptography : Quantum Key Distribution

Quantum Teleportation Theory

Further Learning and Resources