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Updated in [September 05th, 2023]

Skills and Knowledge Acquisition:
1. Quantum Computing Fundamentals: Explore quantum computing concepts from the ground up, making it suitable for beginners and those already familiar with the subject.
2. Theory and Coding: Each course section offers a blend of theoretical insights and hands-on coding exercises, ensuring a comprehensive learning experience.
3. Mathematics for Quantum Computing: Learn the essential mathematical foundations required for quantum programming.
4. Quantum States and Gates: Master single qubit and multiple qubit quantum states and the corresponding quantum gates.
5. Qiskit Tools: Utilize Qiskit, a powerful quantum computing framework, to run experiments and simulations.
6. Real Quantum Computers: Gain practical experience by running experiments on real quantum computers offered by IBM.
7. Quantum Composer: Explore IBM's Quantum Composer for designing quantum circuits.
8. Quantum Information: Dive into quantum information theory and its applications.
9. Quantum Communication Protocols: Understand quantum communication protocols, including quantum teleportation and the BB84 protocol.
10. Quantum Algorithms: Explore various quantum algorithms, such as Deutch-Jozsa, Bernstein-Vazirani, Simon's, Grover's, Shor's, and Quantum Machine Learning.
11. Practical Tests and Coding Exercises: Apply your knowledge through practical tests and coding exercises to earn a Certificate of Completion.

Contribution to Professional Growth:
- Quantum Literacy: Develop a strong foundational understanding of quantum computing, positioning you as a valuable asset in the evolving field.
- Practical Skills: Acquire practical skills in quantum programming, enabling you to contribute to the development of quantum technologies.
- Industry Relevance: Gain knowledge that is highly relevant to companies and institutions engaged in quantum computing research, including IBM, Microsoft, Google, and more.
- Competitive Advantage: Stand out in the job market by showcasing your proficiency in quantum programming and quantum algorithms.
- Future-Proofing: Prepare for the future of technology by staying ahead of the curve in quantum computing.

Suitability for Preparing Further Education:
- Academic Pursuits: Ideal for individuals considering further education in quantum computing, quantum physics, computer science, or related fields.
- Quantum Research: Provides a strong foundation for research-focused academic programs or quantum-related research projects.
- Quantum Engineering: Suitable for those planning careers or advanced studies in quantum engineering, quantum information science, or quantum technology.
- Interdisciplinary Studies: Supports interdisciplinary studies that combine quantum computing with other scientific or engineering disciplines.

Course Syllabus

Complex Numbers

Linear Algebra

Quantum Computing Theoretical Minimum

Python and Qiskit Setup

Single Qubit Quantum Gates

Single Qubit Quantum Gates Identities

The Most Generall Single Qubit Gate

Ramsey Interferometry

Multiple Qubits

Qiskit's Tools

Big O Notation

Quantum Communication Protocols

Quantum Oracle Algorithms

Grover's Algorithm

Quantum Fourrier Transformation

Quantum Phase Estimation

Shor's Algorithms