I graduated from the Institute for Advanced Studies in Basic Sciences (IASBS) with a master's degree in condensed matter physics. My master's thesis focuses on using machine learning and tensor networks simulation to identify (topological) quantum phases and determine phase diagrams of the Extended Bose Hubbard and Kitaev ladder model.

I gained experience in the field of machine learning for my master's thesis, including supervised and unsupervised machine learning, convolutional neural networks, auto-encoders, anomaly detection, and PCA. On the other hand, I studied and used Monte Carlo and tensor networks to simulate quantum and classical systems.

I'm eager to advance my research career in quantum physics and use machine learning and new techniques to gain a solid understanding of the quantum phenomena.

Master of Science:

Condensed Matter Physics from IASBS, Zanjan, Iran (Nov 2021 – Sep 2024)

Thesis: Tensor Neural Networks for Capturing Quantum Phase Transitions

Supervisor: Dr. Saeed S. Jahromi

Thesis Qualification: Excellent (Best Possible)

Kitaev honeycomb antiferromagnet in a field: quantum phase diagram for general spin

Saeed S. Jahromi, Max Hörmann, Patrick Adelhardt, Sebastian Fey, Hooman Karamnejad, Roman Orus, Kai Phillip Schmidt

Communications Physics 7, 319 (2024) [Full Text], [arXiv:2111.06132]

Machine Learning Phase Transition Detecting for Classical Ising Model

28th Annual IASBS Meeting on Condensed Matter Physics (2023)

Kitaev Ladder Phase Diagram Using Machine Learning

6th Iranian Conference on Computational Physics (2023)

Qiskit Quantum Computing and Programming (2022)

Certificate No. QBronze86-59

Programming language:

Python, C++, Rust, Octave, Bash

Machine Learning library:

PyTorch, Scikit-Learn

Neural Network Architecture:

Fully Connected (FC), Convolutional Neural Network (CNN), AutoEncoder (AE), Restricted Boltzmann Machine (RBM)

Machine Learning Technique:

Anomaly Detection (AD), Principal Component Analysis (PCA)

Computational Method:

Database:

MySql, MongoDB, Neo4j

Operation System:

Linux

Version Control:

Git

High Performance Computing (HPC):

Slurm

Web Programming:

PHP, Laravel, Vue.js, JQuery, Tailwind