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Lecture
Theory of Open Quantum Systems
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Related lectures (32)
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Matrix to Density Operator
Explains the transformation from a matrix to the density operator in quantum physics.
Quantum Approximation: Optimization Algorithm
Explores the Quantum Approximate Optimization Algorithm and its application in factoring integers using a superconducting quantum processor.
Lindblad equation
Covers the derivation of the Lindblad equation and the evolution of quantum gases.
Quantum Information: Magnetic Moments and Spin
Explores quantum information on magnetic moments, spin, observable properties, and photon polarization, emphasizing matrices' role in quantum measurements.
Stochastic numerical methods for many-body quantum systems
Explores stochastic methods for quantum systems, including exact diagonalization, variational methods, neural networks, and machine learning.
Quantum Natural Gradient: Optimization Methods in Quantum Computing
Explores Quantum Natural Gradient optimization in quantum computing and the importance of choosing the right ansatz.
Symmetric Matrices: Diagonalization
Explores symmetric matrices, their diagonalization, and properties like eigenvalues and eigenvectors.
Quantum Information and Computation
Covers quantum information, computation, advantages, challenges, error correction, and quantum algorithms.
Quantum Principles
Covers the fundamental principles of quantum computing and unitary evolution in quantum systems.
Lindblad equation
Covers the interpretation of the Lindblad equation and its unitary part in quantum gases.
