Quantum Computing & Encryption: Basics to leading trends

Less formulas- Learn from basics of Quantum Mechanics to implementations (25+ Solved Exercises for beginners in Qiskit)

This course would enable you to gain insight into the realm of Quantum Computing. The students would be able to learn and develop expertise in Quantum algorithms, gates, and implementation of these codes. The undergraduate students would particularly find it very imperative for realizing their final year projects and reports.

What you’ll learn

  • Basics of Quantum Computing with its Qiskit Implementation.
  • Quantum gates and Quantum codes in Qiskit and Pennylane.
  • Quantum modeling using Quantum Variational Circuits.
  • Measurements in Quantum Computing using Quantum Simulators.
  • NISQs and Decoherence in Quantum Computing.
  • Building a Quantum Computer.
  • Fundamentals of Quantum Computing.
  • Quantum Computing Exercises with Solutions.

Course Content

  • Introduction –> 1 lecture • 9min.
  • Quantum Computing and Cyberspace –> 1 lecture • 8min.
  • Quantum Superposition & Quantum Entanglement –> 1 lecture • 4min.
  • 20 Exercises on Quantum Algorithms Implementations for Beginners –> 1 lecture • 1min.
  • Particle in a Box Phenomenon –> 1 lecture • 7min.
  • Hilbert Space and Hamiltonian Operator –> 1 lecture • 6min.
  • Unitary Transformations in Quantum Gates –> 1 lecture • 9min.
  • Quantum Wave Function and its Importance –> 1 lecture • 11min.
  • Quantum Computing: Role of String Theory in Explaining Wave Nature –> 1 lecture • 6min.
  • Quantum Computing Models: From Unitary to Discrete Quantum Walks –> 1 lecture • 7min.
  • Quantum Variational Circuit & Quantum Annealing –> 1 lecture • 6min.
  • Noisy Intermediate Scale Quantum Computing (NISQs) –> 1 lecture • 7min.
  • Implementation of Gates in Quantum Computing –> 1 lecture • 9min.
  • Implementation of Quantum Algorithms in Qiskit –> 1 lecture • 8min.
  • Understanding and Implementation of Shor’s Algorithm –> 1 lecture • 9min.
  • Quantum Computing Coding (25+ Exercises & Implementations in Qiskit) –> 1 lecture • 1min.
  • Quantum Robot –> 1 lecture • 7min.
  • Quantum Computing Case Examples for Undergraduate Students –> 1 lecture • 1min.
  • Quantum Financial System and Digital Marketing –> 1 lecture • 1min.
  • Quantum Computing for Computer Vision –> 1 lecture • 1min.
  • Quantum Package for Dot Net Platform –> 1 lecture • 1min.
  • Quantum Programming Languages –> 1 lecture • 1min.
  • Quantum Teleportation Algorithm –> 1 lecture • 1min.
  • Quantum Encrytion Explained: Part I –> 1 lecture • 9min.
  • Quantum Encryption: Detailed Discussion Part II –> 1 lecture • 9min.
  • Quantum Encryption Implementation –> 1 lecture • 1min.

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Requirements

This course would enable you to gain insight into the realm of Quantum Computing. The students would be able to learn and develop expertise in Quantum algorithms, gates, and implementation of these codes. The undergraduate students would particularly find it very imperative for realizing their final year projects and reports.

Furthermore, this course is an introduction to the fundamental concepts of quantum circuits and algorithms. The course will provide tools that allow students to implement quantum circuits and algorithms using quantum computing libraries and to run them using quantum simulators as well as real hardware.

The following topics shall be covered;

1. Quantum Computing.

2. Classical Computing vs Quantum Computing.

3. Impact of Quantum Computing on Cloud Computing.

4. Quantum Superposition & Quantum Entanglement.

5. Quantum Gates.

6. Quantum Variational Circuits.

7. Optimization through Quantum Annealing.

8. Quantum Measurements.

9. Noisy Intermediate Scale Quantum Computing (NISQs).

10. Building a Quantum Computer

11. Impact of Quantum computing in cyberspace.

12. Quantum algorithms and code examples.

13. Implementation and testing of all codes in Qiskit.

14. Quantum Robot implementation in Qiskit.

15. Quantum Financial Systems and Markets.

16. Quantum Computing for Computer Vision.

17. Quantum Computing using NLP.

18. Quantum Programming Languages including .NET platform.

19. 25+ Coding Practice Problems with Solutions in QISKIT

 

 

At the end of the course the student will be able:

  • To describe the differences between quantum and classic computation.
  • To build quantum circuits connecting different types of quantum gates.
  • To implement quantum circuits and algorithms using quantum programming libraries.
  • To run quantum circuits and algorithms using quantum simulators and real quantum computers.
  • To understand how to design quantum algorithms to solve multifarious problems.
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