Quantum Computing & Encryption: Basics to leading trends

本课程将使您深入了解量子计算领域。学生将能够学习和发展量子算法、门和这些代码的实现方面的专业知识。本科生尤其会发现完成他们最后一年的项目和报告非常必要。
此外，本课程介绍了量子电路和算法的基本概念。该课程将提供工具，允许学生使用量子计算库实现量子电路和算法，并使用量子模拟器和真实硬件运行它们。

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

Instructors: Junaid Zafar
26 sections • 26 lectures • 2h 11m
Video: MP4 1280×720 44 KHz | English + Sub
Updated 3/2022 | Size: 2.828 GB

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

Requirements

Students would be able to learn from scratch. No Pre- requisite is requiredNo programming skills are required.

Description

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.