Posts Tagged ‘tutorial’

lecture note on mixed state and density matrix

May 11, 2025

https://www.henryyuen.net/classes/spring2022/
https://www.henryyuen.net/spring2022/lec2-mixed-states.pdf

lecture notes on mixed states and density matrix.

QT:{{”
Frontiers of Quantum Complexity and Cryptography Lecture 2 – Mixed States and Density Matrices
Lecturer: Henry Yuen Spring 2022
Scribes: Melody Hsu

In the third lecture, we wrapped up a review of the foundational concepts we will need to tackle
later topics, and then started our first quantum complexity topic, state tomography. We briefly
discussed several ways to analyze probabilistic mixtures of quantum states; after the conclusion of
the review, we explored lower bounds on complexity of a classic tomography protocol.
“}}

gen ai book

April 20, 2025

Generative Deep Learning: teaching machines to paint, write, compose, and play: Foster, David: 9781492041948: Amazon.com: Books. (n.d.). https://www.amazon.com/Generative-Deep-Learning-Teaching-Machines/dp/1492041947

World Model page 331
Variational Autoencoders page 59

1906.02691 An Introduction to Variational Autoencoders

March 2, 2025

Has detailed setup for ELBO

https://arxiv.org/abs/1906.02691

Kingma, D. P., & Welling, M. (2019). An introduction to variational autoencoders. Foundations and Trends® in Machine Learning, 12(4), 307–392. https://doi.org/10.1561/2200000056

Unsupervised Feature Learning and Deep Learning Tutorial

March 2, 2025

http://deeplearning.stanford.edu/tutorial/supervised/OptimizationStochasticGradientDescent/

1803.00567 Computational Optimal Transport

March 1, 2025

https://arxiv.org/abs/1803.00567

explains the dual problem well

Peyré, G., & Cuturi, M. (2018, March 1). Computational Optimal transport. arXiv.org. https://arxiv.org/abs/1803.00567

tutorial_on_optimal_transport.pdf

2312.07511 A Hitchhiker’s Guide to Geometric GNNs for 3D Atomic Systems

March 1, 2025

https://arxiv.org/abs/2312.07511

Duval, A., Mathis, S., V., Joshi, C. K., Schmidt, V., Miret, S., Malliaros, F. D., Cohen, T., Liò, P., Bengio, Y., & Bronstein, M. (2023, December 12). A Hitchhiker’s guide to Geometric GNNs for 3D atomic Systems. arXiv.org. https://arxiv.org/abs/2312.07511

Good intuition on spherical harmonics

Diffusion Tutorial

March 1, 2025

Some tutorials on diffusion models:

[An Arxiv Tutorial]
https://arxiv.org/pdf/2403.18103
https://arxiv.org/abs/2403.18103

Chan, S. H. (2024, March 26). Tutorial on diffusion models for imaging and vision. arXiv.org. https://arxiv.org/abs/2403.18103

has master equation, forward & back SDE, relationship of SDE to p(x)

[Also, Some Useful Blogs]
https://baincapitalventures.notion.site/Diffusion-Without-Tears-14e1469584c180deb0a9ed9aa6ff7a4c https://yang-song.net/blog/2021/score/
https://lilianweng.github.io/posts/2021-07-11-diffusion-models/

tutorial on transformer

March 1, 2025

https://www.datacamp.com/tutorial/how-transformers-work

How Transformers Work: A Detailed Exploration of Transformer Architecture

Explore the architecture of Transformers, the models that have revolutionized data handling through self-attention mechanisms.

Jan 9, 2024 · 15 min read

1906.02691 An Introduction to Variational Autoencoders

February 18, 2025

https://arxiv.org/abs/1906.02691

Kingma, D. P., & Welling, M. (2019). An introduction to variational autoencoders. Foundations and Trends® in Machine Learning, 12(4), 307–392. https://doi.org/10.1561/2200000056