Quantum Physicist | PhD Candidate | Quantum Computing Researcher
I'm a Physics PhD candidate researching quantum information and quantum computing, with a focus on variational quantum algorithms applied to the dynamics of many-body quantum systems. My work bridges theoretical physics and practical quantum software development.
- Variational quantum algorithms (VQE, QAOA, QAS)
- Many-body localization and quantum dynamics
- Quantum simulation of condensed matter systems
- Quantum machine learning and quantum neural networks
- Generative AI applied to scientific computing
Quantum Computing: Qiskit, QuTiP, PennyLane, Qiskit Machine Learning
Scientific Python: NumPy, SciPy, Matplotlib, NetworkX
Machine Learning & AI: PyTorch, Hugging Face Transformers, scikit-learn
Tools & Infrastructure: Git, Jupyter, SLURM/HPC, Linux
| Project | Description |
|---|---|
| Quantum Assisted Simulator | QAS algorithm for studying many-body localization in disordered Ising chains using Qiskit and QuTiP |
| QAOA for MaxCut | Quantum Approximate Optimization Algorithm applied to combinatorial optimization |
| Exact Diagonalization | Full Hilbert-space exact diagonalization for disordered J1-J2 XY spin chains |
| Variational Quantum Algorithms | Collection of VQE, QAOA, and quantum dynamics implementations with IBM hardware |
| Quantum Neural Network | Parameterized quantum circuit classifier built from scratch with Qiskit |
| Quantum Physics Text Generator | Fine-tuning GPT-2 on quantum physics text with PyTorch and Transformers |
- PhD in Physics (in progress) — Physics - Quantum Information and Quantum Computing
- MSc in Physics — Physics