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Quantum algorithm
Formal sciences
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Quantum computing
Related lectures (32)
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The Deutsch and Deutsch-Jozsa Algorithms
Covers the Deutsch and Deutsch-Jozsa algorithms in quantum computing, explaining the principles behind them and their implications.
Quantum Algorithms: Complexity and Learning Insights
Explores quantum algorithms, their complexity, and applications in learning, highlighting key concepts and recent research findings.
Quantum Computation: Mechanisms and Advantages of Restricted Models
Covers the mechanisms behind quantum computation and explores the advantages of restricted computational models.
Quantum and nanocomputing
Covers the basics of number theory, RSA encryption, and Shor's period finding algorithm.
Neural Quantum States: Applications and Mapping Techniques
Explores neural quantum states, mapping techniques, quantum circuit simulation, and variance-bias trade-offs in quantum computations.
Elements of Computational Complexity
Covers quantum algorithms, complexity classes, Grover's algorithm, and quantum information in computational complexity.
Hidden Subgroup Algorithm
Continues the discussion on Simon's hidden subgroup problem, focusing on finding a basis.
Quantum Computational Advantage: Recent Progress and Next Steps
Explores recent progress in quantum computational advantage and discusses the challenges in achieving quantum supremacy.
NISQ Algorithms and the VQE
Explores NISQ algorithms, with a focus on the VQE method and error mitigation techniques.
NISQ and IBM Q
Explores NISQ devices and IBM Q, covering noisy quantum circuits, qubit technologies, and quantum algorithm development.