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Lecture

Lindblad equation

Related lectures (39)

Lindblad equation

Covers the derivation of the Lindblad equation and the evolution of quantum gases.

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Explores projective quantum measurements, system-meter formulation, observable outcomes, and coupling between systems and meters.

Lindblad Equation

Explores the Lindblad equation and the Markov approximation in quantum optics.

Quantum Measurements

Explores quantum measurements, including POVMS and general projections, and their applications in quantum computing.

Quantum Mechanics: Probability and Measurement

Explores probability in Quantum Mechanics, focusing on measurement outcomes and the role of consciousness in determining perceptions.

Quantum Measurements

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Quantum Jump: Theory and Algorithms

Explores the theory of quantum jumps in open quantum systems and their simulation.

Hidden Markov Models: Primer

Introduces Hidden Markov Models, explaining the basic problems and algorithms like Forward-Backward, Viterbi, and Baum-Welch, with a focus on Expectation-Maximization.

Quantum Density Matrix

Explores quantum density matrix, mixed states, von Neumann entropy, and quantum measurements.

Expected Number of Visits in State

Covers the criterion for recurrence in infinite chains based on the expected number of visits in a state.

Sunny Rainy Source: Markov Model

Explores a first-order Markov model using a sunny-rainy source example, demonstrating how past events influence future outcomes.

Quantum Entropy: Markov Chains and Bell States

Explores quantum entropy in Markov chains and Bell states, emphasizing entanglement.

Quantum Scattering: Eigenstates and Amplitudes

Explores quantum scattering, emphasizing eigenstates and amplitudes in the process.

Quantum Information: Density Matrices

Explores density matrices, quantum states representation, and entropy in quantum information.

Quantum Hamiltonian Verification

Covers the verification of N-qubit Hamiltonians using quantum computing techniques.

Number Representation and Algorithms

Explores number representation, algorithms, recursion, and probabilities in decimal and binary.

Reminders on two-level systems

Covers the basics of two-level systems, including states, operators, and the Bloch Sphere.

Probability & Stochastic Processes Log in to Mediaspace to watch this video

Covers applied probability, stochastic processes, Markov chains, rejection sampling, and Bayesian inference methods.

Quantum Learning: Complexity and Predictive Models Log in to Mediaspace to watch this video

Covers the complexity and learnability in complex quantum systems, focusing on quantum advantages in learning and predicting properties of quantum states.