LinkedIn – Quantum Computing Fundamentals 2023-4
LinkedIn – Quantum Computing Fundamentals 2023-4

Quantum Computing Fundamentals is a training course on the principles and concepts of quantum computing published by LinkedIn Online Academy. Quantum Computing Fundamentals is a comprehensive course designed to familiarize you with the principles and concepts of quantum computing. This course is ideal for professionals, researchers, and enthusiasts seeking to understand the principles of quantum computing, its potential applications, and how it differs from classical computing. You will learn about fundamental concepts such as qubits, superposition, entanglement and quantum gates. Through accessible explanations and practical examples, this course aims to demystify quantum computing and provide a solid foundation for further exploration of this rapidly evolving field.
This course provides a basic understanding of quantum computing, focusing on fundamental concepts such as qubits, superposition, entanglement, and quantum gates. You will explore how quantum computing differs from classical computing and the potential implications for various fields, including cryptography and optimization. The course is designed to be accessible, with clear explanations and practical examples to help you understand complex ideas. By the end of the course, you will have a thorough understanding of the fundamentals of quantum computing, allowing you to realize its potential and prepare for more advanced study or application in the field.
What you will learn in Quantum Computing Fundamentals:
- Multi-qubit gates
- Quantum entanglement
- Real quantum hardware
- Quantum algorithms
- Quantum bit
- and…
Course specifications
Publisher: LinkedIn
Instructors: Barron Stone and Olivia Chiu Stone
Language: English
Level: Advanced
Number of Lessons: 62
Duration: 4 hours and 12 minutes
Course topics
Quantum Computing Fundamentals Prerequisites
None
Pictures
Quantum Computing Fundamentals introduction video
Installation guide
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English subtitle
Quality: 720p
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Size
1.1 GB