I hold a Master's degree in Condensed Matter Physics from the Institute for Advanced Studies in Basic Sciences (IASBS). The focus of my master's thesis was on using machine learning and tensor network simulations to identify (topological) quantum phases and to determine the phase diagrams of the extended Bose-Hubbard and Kitaev ladder models.

During my research, I gained extensive experience in machine learning, including both supervised and unsupervised techniques, convolutional neural networks, autoencoders, anomaly detection, and principal component analysis (PCA). Additionally, I studied and applied Monte Carlo methods and tensor networks to simulate quantum and classical systems.

I am committed to advancing my research career in quantum physics and leveraging machine learning and innovative techniques to deepen my understanding of 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