NISQ Algorithms and the VQE

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Related lectures (56)

Lagrangian Duality: Convex Optimization Log in to Mediaspace to watch this video

Explores Lagrangian duality in convex optimization, transforming problems into min-max formulations and discussing the significance of dual solutions.

International Portfolio Allocation Log in to Mediaspace to watch this video

Explores the optimization of international portfolio allocation and the principles of comparative advantage in trade.

Quantum and nanocomputing Log in to Mediaspace to watch this video

Covers quantum dots, qubit states, RF readout, electron spin resonance, charge transport, Rabi cycles, chopper amplifiers, and impedance matching.

Optimization algorithms Log in to Mediaspace to watch this video

Covers optimization algorithms, focusing on Proximal Gradient Descent and its variations.

Optimization Techniques: Gradient Descent and Convex Functions Log in to Mediaspace to watch this video

Provides an overview of optimization techniques, focusing on gradient descent and properties of convex functions in machine learning.

Quantum Principles Log in to Mediaspace to watch this video

Covers the fundamental principles of quantum computing and unitary evolution in quantum systems.

Optimization Principles Log in to Mediaspace to watch this video

Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.

Variance Reduction: Strategies and Applications Log in to Mediaspace to watch this video

Discusses variance reduction techniques in stochastic simulation, focusing on allocation strategies and replica generation algorithms.

Faster Gradient Descent: Projected Optimization Techniques Log in to Mediaspace to watch this video

Covers faster gradient descent methods and projected gradient descent for constrained optimization in machine learning.

Proximal Gradient Descent: Optimization Techniques in Machine Learning Log in to Mediaspace to watch this video

Discusses proximal gradient descent and its applications in optimizing machine learning algorithms.

Introduction to Quantum Error Correction Log in to Mediaspace to watch this video

Covers the principles of quantum error correction and its application in quantum computing.

Linear Optimization: Fundamentals Log in to Mediaspace to watch this video

Covers the basics of linear optimization, including equations, polyhedrons, feasible directions, and optimal solutions.

Portfolio Optimization: Models and Strategies Log in to Mediaspace to watch this video

Explores portfolio optimization models and strategies under uncertainty, emphasizing decision criteria like value-at-risk and mean-variance functional.

Optimization Problems: Path Finding and Portfolio Allocation Log in to Mediaspace to watch this video

Covers optimization problems in path finding and portfolio allocation.

Equality and Inequality Constraints: Optimization Conditions Log in to Mediaspace to watch this video

Covers necessary optimality conditions for optimization with constraints and discusses cones and polar sets.

Untitled Log in to Mediaspace to watch this video

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