Theoretical Physicist · Quantum Computing Researcher · PhD Candidate
Heidelberg / Budapest  ·  Open to opportunities

I build numerical tools for quantum many-body physics — from scratch, test-driven, and cross-validated against reference implementations. My work sits at the intersection of tensor network methods, quantum algorithm design, and open quantum systems.

Currently finishing my PhD at BUTE, with a focus on magic states, stabilizer theory, and Lindbladian dynamics.

A from-scratch Python implementation of the tensor network stack for finite-size DMRG on 1D quantum lattice models.

• Tensor, MPS, MPO — full linear algebra layer built on NumPy
• Finite 2-site DMRG with incremental environments and correct gauge — converges on TFIM, Heisenberg, ZZ+Z
• 315+ pytest tests, CI on every push, cross-validated against iTensor
• Published to PyPI · roadmap extends to TEBD, 2D geometries, and long-range Hamiltonians

→ szmbthydmnk/quantum-simulation-lab

• Tensor networks and many-body quantum systems
• Magic states, stabilizer formalism, and quantum computational complexity
• Dissipative quantum systems and Lindbladian dynamics
• Adiabatic quantum algorithms