Numerical Solutions of Schrödinger's Equation Applied to Atomic Physics - Class 3
Explore numerical solutions of Schrödinger's equation in atomic physics, focusing on advanced techniques and applications in the field.
Numerical Solutions of Schrödinger's Equation Applied to Atomic Physics - Class 1
Explore numerical solutions of Schrödinger's equation in atomic physics, focusing on fundamental concepts and computational techniques.
Approaching Exact Quantum Chemistry by Semi-Stochastic and Selected-CI-Driven CC Computation
Explore advanced quantum chemistry techniques, including semi-stochastic methods and selected-CI-driven CC computation, for achieving near-exact results.
Coupled-Cluster Theory for Ground and Excited Eigenstates
Explore advanced quantum computing concepts through coupled-cluster theory, examining ground and excited eigenstates and their applications in quantum systems.
How Lagrangian States Evolve into Random Waves
Explore the evolution of Lagrangian states into random waves in quantum chaos, focusing on Berry's conjecture and its implications for high-energy limits on negatively curved manifolds.
Solving Physics Problems with Schrödinger's Equations
Explore Schrödinger equation generation and solve physics problems using finite element method in Wolfram Language through practical examples.
Intro to Quantum Computing - Interference, Measurement
Explore quantum computing concepts like interference, measurement, complex numbers, and wave equations in this advanced lecture by Dr. Kitty Yeung.
Quantum Simulation - IPAM at UCLA
Explore quantum simulation's origins, relevance, and key concepts with Nathan Wiebe. Delve into Schrödinger equations, Hamiltonian simulation, and Taylor's theorem in this comprehensive lecture.
Improved Complexity Estimation for Hamiltonian Simulation with Trotter Formula
Explore improved complexity estimation for Hamiltonian simulation using Trotter formula, focusing on time-dependent effective mass and near adiabatic dynamics scenarios with potential for enhanced efficiency.
Quantum Algorithm for Simulating Coupled Classical Oscillators - IPAM at UCLA
Quantum algorithm for simulating classical oscillators: efficient simulation of 2^n coupled oscillators, exponential speedup over classical computers, applications in energy estimation and BQP-complete problems.
Symmetries in Machine Learning for Materials Science
Exploring machine learning techniques incorporating crystallographic symmetries for materials science, enhancing property prediction and discovery of new materials and meta-materials.
GenPhys: From Physical Processes to Generative Models
Explore how physical processes inspire new generative models, including diffusion and Poisson flow. Learn to translate PDEs into AI algorithms and expand the design space of generative approaches.
Packing Points in Projective Spaces
Explore optimal point arrangements in projective spaces, surveying current research and open problems in this fundamental area of metric geometry with applications in digital communication.
Uniform Observable Error Bounds for Trotter Formulae in Semiclassical Regime
Delve into advanced quantum computation theory exploring uniform observable error bounds for Trotter formulae in semiclassical regimes, focusing on simulation efficiency and multiscale properties.
Modelling and Structure-Preserving Discretization of the Schrödinger Equation as a Port-Hamiltonian System
Explore Schrödinger equation modelling as port-Hamiltonian system, including structure-preserving discretization and simulation of controlled quantum box with Rabi oscillations.
Solving 2D Quantum Mechanics Problems with Python
Explore Python techniques for solving 2D quantum mechanics problems with non-trivial potential, based on numerical methods and analytical solutions.
Solution for the 1D Infinite Square Well in Quantum Mechanics
Solve the Schrödinger equation for a one-dimensional infinite square well, exploring quantum mechanics fundamentals and wave function behavior.
Quantum Mechanics: Using the Shooting Method and Python to Solve the 1D Square Well
Solve the 1D infinite square well numerically using Python and the shooting method, exploring an alternative approach to quantum mechanics problem-solving.
Solving Schrödinger's Equation as an Eigenvalue Problem with Numpy
Explore numerical solutions to the 1D infinite square well using Python's NumPy library and the finite difference method for Schrödinger's equation.
1D Square Well with Step Potential - Shooting Method
Solve 1D square well with step potential numerically using Python's shooting method. Explore infinite potential walls and half-step potential.
1D Square Well with Step Potential - Finite Difference Solution
Explore numerical solutions for 1D square well with step potential using finite difference method in Python. Learn eigenvalue problem solving and result normalization.