$19.99
per month
Video
Oct 2024
10hrs
1st Edition
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Understand the difference and synergy between classical and quantum computing
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Learn Python programming skills specifically geared towards quantum algorithms and development
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Engaging experiments, quizzes, and assignments to solidify your understanding
This introductory course provides a solid foundation in quantum computing by covering essential topics in quantum science, mathematics, and Python programming. Starting with the basics of quantum computing and computer science, you’ll explore the differences between classical and quantum systems. The course introduces core quantum concepts such as superposition, entanglement, and interference, paired with practical, hands-on experiments for a deeper understanding.
The course then focuses on the mathematics required for quantum computing, including trigonometry, complex numbers, probability, vectors, and matrices. Each mathematical concept is explained in the context of its quantum applications, equipping you with essential skills for understanding quantum algorithms.
Finally, you’ll learn Python programming tailored specifically for quantum computing, beginning with foundational programming concepts and advancing to quantum-specific applications. By the end, you’ll have a comprehensive understanding of the introductory concepts and tools, setting you up for more advanced studies in quantum mechanics, quantum computing, and real-world quantum applications."
This course is ideal for technology enthusiasts, computer science students, and professionals eager to explore quantum computing. It caters to those with a basic understanding of high school mathematics and programming who wish to deepen their knowledge in this emerging field. Whether you're a beginner or someone with a technical background looking to pivot into quantum computing, this course offers a structured approach to grasp both fundamental and advanced concepts in a clear and engaging manner.
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Grasp classical and quantum computing basics
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Master quantum physics fundamentals
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Apply essential math to quantum problems
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Develop quantum algorithms in Python
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Analyze quantum data and results
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Implement real-world quantum solutions