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Grover Algorithm: Search Optimization
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Related lectures (33)
Quantum Measurement Analysis
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Explores quantum measurement analysis, including the Simon problem and geometric analogies.
Quantum Algorithms: Complexity and Learning Insights
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Explores quantum algorithms, their complexity, and applications in learning, highlighting key concepts and recent research findings.
Quantum and Nanocomputing
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Explores the fundamentals and history of quantum computing, including qubit realization and the first and second quantum revolutions.
Quantum Computing: Introduction
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Covers quantum computing basics, quantum algorithms, error correction, and quantum bit manipulation.
Grover Algorithm: Quantum Search
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Introduces the Grover algorithm, a quantum search algorithm that speeds up searching unsorted databases.
Quantum and nanocomputing
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Covers the basics of number theory, RSA encryption, and Shor's period finding algorithm.
Quantum Approximate Optimization Algorithm
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Covers the Quantum Approximate Optimization Algorithm, physically inspired unitary coupled cluster ansatz, hardware-efficient ansatz, and variational quantum eigensolver.
Deutsch and Josza Problem
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Covers the Deutsch and Josza problem in quantum computation, focusing on boolean functions and oracles.
Simon Problem: Quantum Algorithm and Hilbert Space
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Covers Simon's quantum algorithm, unitary operations, and the Simon problem.
Deutsch Josza algorithm
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Covers the Deutsch-Josza algorithm, a quantum algorithm solving problems with a single query to an oracle.
Shor's algorithm: factoring integers
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Covers the basics of Shor's algorithm for factoring integers and the steps involved in the quantum algorithm.
Hidden Sub-group Problem and Simon Algorithm
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Explores the hidden sub-group problem and Simon algorithm in quantum computing.
Projection Matrices: Min-Cut and Gradient Descent
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Explores projection matrices in the context of min-cut and gradient descent algorithms, emphasizing their role in optimization.
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