Basics of Quantum Computing - Lecture 21

Dive into the fundamentals of quantum computing in this 39-minute lecture from MIT's course on TinyML and Efficient Deep Learning Computing. Explore the principles behind this cutting-edge technology and its potential applications in machine learning. Learn how quantum computing differs from classical computing and understand its unique capabilities. Gain insights into quantum bits, superposition, entanglement, and quantum gates. Discover how quantum algorithms can potentially solve complex problems exponentially faster than classical computers. This lecture, part of a comprehensive series taught by Professor Song Han, provides a solid foundation for understanding the intersection of quantum computing and machine learning. Access accompanying slides and additional course materials to enhance your learning experience.

Lecture 21 - Basics of Quantum Computing | MIT 6.S965