Lectures related to Pseudorandomness

Semantic Security: Stream Ciphers

Explores semantic security in stream ciphers, emphasizing pseudorandom number generators and computational limitations in cryptography.

Commitment Scheme: Key Derivation and Hash Function

Explains the commitment scheme, key derivation, and hash function for data security.

Random Number Generators: Basics and Algorithms

Explores random number generators, from true random numbers to pseudo random algorithms, including the modulo generator and advanced techniques.

Random Number Generators: Modulo Generator

Explores random number generators on computers, focusing on the Modulo generator and the criteria for pseudo random numbers.

Simulation & Optimization: Poisson Process & Random Numbers

Explores simulation pitfalls, random numbers, discrete & continuous distributions, and Monte-Carlo integration.

Commitment Scheme and PRNG

Explores the commitment scheme, key derivation function, and pseudorandom generator in cryptographic protocols, emphasizing their role in ensuring data integrity and authentication.

C++ Standard Library: Containers and Algorithms

Explores containers and algorithms in the C++ standard library, including find, copy, and sort functionalities.

Photon: Quantum Properties and Experiments

Explores the quantum properties of photons, covering their wave-particle duality and implications in various experiments.

Single Photon Detection: Principles and Applications

Discusses the principles and applications of single photon detection using Single Photon Avalanche Diodes (SPAD).

Pseudo Randomness in Graphs

Explores pseudo randomness in graphs using eigenvalues and polynomials, emphasizing the significance of bunched roots and common interlacers.

Quantum Metrology: Quantum Applications

Explores quantum applications like imaging, entanglement, quantum computing, and quantum key distribution, along with superconducting electronics and single-photon detectors.

Quantum Metrology: Fundamentals and Applications

Explores quantum metrology fundamentals, applications, and technologies like quantum ghost imaging, computing, and key distribution.

Molecular Dynamics and Monte Carlo

Covers computational methods for molecular systems at finite temperature, emphasizing stochastic sampling and time evolution simulations.

Pseudorandomness: Theory and Applications

Explores pseudorandomness theory, AI challenges, pseudo-random graphs, random walks, and matrix properties.

Maximum Entropy Principle: Stochastic Differential Equations

Explores the application of randomness in physical models, focusing on Brownian motion and diffusion.

Bitcoin and Ethereum: Scripting and Gas

Explores Bitcoin scripting, Ethereum gas, smart contracts, limitations, and common uses.