Communication complexity

Related lectures (26)

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Introduces computational complexity, decision problems, quantum complexity, and probabilistic algorithms, including NP-hard and NP-complete problems.

Delves into distributed quantum computing, showcasing quantum algorithms and protocols to optimize communication complexity.

Explores communication complexity and quantum computation models in Distributed Quantum Computing.

Covers NISQ computing, error correction, quantum algorithm complexity, and Grover's search algorithm.

Explores quantum algorithms, their complexity, and applications in learning, highlighting key concepts and recent research findings.

Explores worst-case complexity, mathematical induction, and algorithms like binary search and insertion sort.

Covers the challenges in proteomics, focusing on complexity, dynamic range, and advancements in data-independent acquisition methods.

Covers the complexity analyses of algorithms and their worst-case time complexities.

Explores testing quantum systems in the high-complexity regime and the challenges of demonstrating quantum computational advantage.

Summarizes the result for linear regression and introduces Vapnik-Chervonenkis dimension and growth function.