Morten Hjorth-Jensen
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51:24
Quantum phase estimation algorithm
Morten Hjorth-Jensen
17 views • 4 days ago
1:26:04
Variational autoencoders, part 4, lecture April 23, 2024
Morten Hjorth-Jensen
62 views • 5 days ago
1:33:00
Variational Monte Carlo with fermions, efficient calculations of Slater determinants
Morten Hjorth-Jensen
22 views • 9 days ago
1:30:23
Generative methods: From energy-based models to variational autoencoders, part 3
Morten Hjorth-Jensen
57 views • 12 days ago
1:30:56
Deep learning and quantum mechanics, using Boltzmann machines in VMC calculations, Part 2
Morten Hjorth-Jensen
122 views • 2 weeks ago
47:14
Quantum Fourier Transforms and start discussions of Quantum Phase estimation algorithm, part 2
Morten Hjorth-Jensen
84 views • 2 weeks ago
1:30:17
Generative models, Boltzmann machines and link with other energy-based models, part 2
Morten Hjorth-Jensen
88 views • 2 weeks ago
1:23:23
Variational Monte Carlo calculations and Deep Learning: Boltzmann machines
Morten Hjorth-Jensen
42 views • 3 weeks ago
1:31:38
Quantum Fourier transforms, basis equations. Part 1.
Morten Hjorth-Jensen
69 views • 3 weeks ago
1:31:29
Introduction to generative methods, basic mathematical properties and intro to Boltzmann machines
Morten Hjorth-Jensen
83 views • 3 weeks ago
1:00:07
Optimization and parallelization for Monte Carlo calculations, mostly tailored to C++ programming
Morten Hjorth-Jensen
46 views • 1 month ago
57:58
Review of Fourier transforms, discrete Fourier and motivation for Quantum Fourier transforms part1
Morten Hjorth-Jensen
33 views • 1 month ago
1:31:13
Autoencoders and principal component analysis, part 2
Morten Hjorth-Jensen
68 views • 1 month ago
1:37:56
Resampling, blocking and bootstrrap for variational Monte Carlo calculations
Morten Hjorth-Jensen
52 views • 1 month ago
1:31:03
Autoencoders and principal Component analysis
Morten Hjorth-Jensen
70 views • 1 month ago
1:23:49
Resampling methods for Variational Monte Carlo calculations
Morten Hjorth-Jensen
36 views • 1 month ago
1:25:10
Quantum computing: Rewriting Hamiltonians in terms of gates and measurements
Morten Hjorth-Jensen
59 views • 1 month ago
1:18:33
Implementing the VQE algorithm for a one-qubit Hamiltonian
Morten Hjorth-Jensen
46 views • 2 months ago
1:33:16
Discussion of codes for CNNs and start of Recurrent Neural Networks
Morten Hjorth-Jensen
64 views • 2 months ago
1:26:04
Computational quantum mechanics, optimization algorithms for VMC calculations
Morten Hjorth-Jensen
36 views • 2 months ago
1:28:44
Quantum computing, getting started with the VQE algorithm, simple hamiltonians
Morten Hjorth-Jensen
56 views • 2 months ago
1:26:08
Convolutional neural networks, part 2
Morten Hjorth-Jensen
60 views • 2 months ago
1:34:24
Optimization of variational parameters for Variational Monte Carlo calculations of energies
Morten Hjorth-Jensen
49 views • 2 months ago
27:26
Writing your own code for simulating Bell states and links to Qiskit and how to run on IBM machines
Morten Hjorth-Jensen
48 views • 2 months ago
1:33:02
Codes and structure of neural network codes and start discussing Convolutional Neural Networks
Morten Hjorth-Jensen
73 views • 2 months ago
1:30:59
Computational quantum mechanics, importance sampling and Fokker-Planck equation and technicalities
Morten Hjorth-Jensen
63 views • 2 months ago
1:32:57
Quantum computing lecture, entanglement, density matrices and entropies. Start discussion gates
Morten Hjorth-Jensen
82 views • 2 months ago
1:32:27
Lecture on neural networks, part 3, examples of building own code and links to automatic derivation
Morten Hjorth-Jensen
111 views • 2 months ago
1:35:10
Lecture February, Computational Quantum Mechanics, Importance sampling and Metropolis-Hastings algo
Morten Hjorth-Jensen
83 views • 2 months ago
1:28:03
FYS5419 Lecture on quantum computing: Density matrices, Entanglement and Entropy
Morten Hjorth-Jensen
117 views • 2 months ago
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