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Armin Ahmadkhaniha

h-index: 4 Citations: 82

Quick Facts

Quantum
Software

Developing state-of-the-art quantum software and cryptographic schemes using Python libraries such as Qiskit and PennyLane.

AI & ML

Expertise in Quantum Graph Convolutional Neural Networks (QGCN) and Deep Quantum Neural Networks (DQNN).

Research
Impact

Published articles (Phys. Rev. A, Springer). Focused on NISQ-compatiblility of Quantum Neural Networks and Algorithms.

Engineering

Strong foundation in Electrical & Telecom Engineering (BSc & MSc), bridging hardware and software.

Leadership

Instructed 540+ students in QML summer schools. Mentored 30+ researchers. Reasearch Board Member for Qworld.

Academic

PhD Student. MSc Ranked 3rd (GPA 18.18/20). Top 1% in Graduate School National Entrance Exam among 30,000.

Tech Stack

Programming Languages

Python
GO
C++

Quantum SDKs

Qiskit
PennyLane

AI & Data

PyTorch
Scikit-Learn
TensorFlow
PyTorch Geometric
Numpy
Pandas
Matplotlib

Engineering Software

HFSS
CST
ADS
MATLAB

Web

HTML
CSS
Hugo

Development Tools

Git
Github
GitLab
VSCode
Jupyter

Education

PhD, Computer Science

McMaster University
Sep 2024 — Present
Researching Quantum Software, Algorithms, and Post-Quantum Cryptography.

MSc, Electrical Eng.

University of Tehran
Sep 2021 — Jun 2024
Thesis: NISQ compatible error correction using modified Dissipative Quantum Neural Networks (Grade 20/20).

BSc, Electrical Eng.

IKIU
Sep 2016 — Feb 2021
Thesis: Microstrip Fed Log-Periodic Balun Printed Dipole (Grade 18.5/20).
Extra Thesis: Quantum Teleporation in distributed systems (Grade 20/20).