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Theory of computation
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Related lectures (31)
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Quantum Computational Advantage: Recent Progress and Next Steps
Explores recent progress in quantum computational advantage and discusses the challenges in achieving quantum supremacy.
Theory of Computability: Solvability and Complexity
Explores the theory of computability, decision problems, complexity classes, and the 'P vs. NP' conundrum.
The Deutsch and Deutsch-Jozsa Algorithms
Covers the Deutsch and Deutsch-Jozsa algorithms in quantum computing, explaining the principles behind them and their implications.
Elements of Computational Complexity
Covers quantum algorithms, complexity classes, Grover's algorithm, and quantum information in computational complexity.
Quantum computing: basics
Introduces the basics of quantum computing, covering qubits, superposition, entanglement, quantum gates, and algorithms, highlighting the efficiency of quantum computation.
Elements of computational complexity
Covers classical and quantum computational complexity concepts and implications.
Elements of Computational Complexity
Introduces computational complexity, decision problems, quantum complexity, and probabilistic algorithms, including NP-hard and NP-complete problems.
Quantum Computing: Hardware Technologies and Applications
Explores quantum computing hardware technologies, applications, classical computing development, investments, and societal impact.
Quantum Principles
Covers the fundamental principles of quantum computing and unitary evolution in quantum systems.
Trapped Ions: Quantum Gates
Covers the fundamentals of trapped ions in quantum information and the importance of geometric phases in quantum optics.
