activity
20202026
most citedRandom matrix analysis of deep neural network weight matrices

15 citations · 65 across the 17 of their papers we have counts for

collaborators

18 papers

cond-mat.mes-hall2026

Extracting the anyonic exchange phase from co-tunneling through an open quantum dot

Felix Puster, Matthias Thamm, Bernd Rosenow

The elementary excitations of fractional quantum Hall states obey anyonic statistics, described by an exchange phase intermediate between the bosonic and fermionic values. We s…

cond-mat.str-el2026

The two-particle density matrix of a Luttinger liquid

Harini Radhakrishnan, Matthias Thamm, Hatem Barghathi +2

Two-particle coherence is the first level of the reduced-density-matrix hierarchy that contains correlations inaccessible to single-particle observables, yet analytic two-particle…

cond-mat.mes-hall2026

Anyon Exchange Phase from Antidot Interferometry

Matthias Thamm, Felix Puster, Bernd Rosenow

Quasiparticles in fractional quantum Hall systems are anyons, carrying a fraction of the electron charge. Exchanging two of them gives rise to a fractional exchange phase. While th…

cond-mat.dis-nn2026

Learning Dynamics of Chain-of-Thought State Tracking in a Solvable Transformer Model

Niklas Forner, Marcel Kühn, Matthias Thamm +1

Chain-of-thought generation can turn a multi-step computation into a sequence of locally checkable state updates, but the training dynamics by which transformers acquire such updat…

physics.comp-ph2026

Physically Constrained Ensemble Gaussian Process Modelling for Expensive Quantum Systems with Heteroskedastic Noise

Arpan Biswas, Sutirtha Paul, Joseph Agada +2

Accurate modeling of quantum many-body systems often requires computationally expensive simulations such as Density Matrix Renormalization Group (DMRG) or Quantum Monte Carlo (QMC)…

cond-mat.mes-hall2026

Extracting the Anyonic Exchange Phase from Hanbury Brown-Twiss Correlations

Felix Puster, Matthias Thamm, Bernd Rosenow

In recent years, interferometry experiments in fractional quantum Hall devices have reported signatures of a fractional braiding phase for quasiparticles. It was noted, however, th…

cond-mat.mes-hall2025

Edge Reconstruction in a Quantum Spin Hall Insulator

Rahul Soni, Matthias Thamm, Gonzalo Alvarez +2

We study interaction-driven edge reconstruction in a quantum spin Hall insulator described by the Bernevig-Hughes-Zhang model with Kanamori-Hubbard interactions using the real-spac…

cond-mat.quant-gas2025★ 1 cited

Berezinskii-Kosterlitz-Thouless Renormalization Group Flow at a Quantum Phase Transition

Matthias Thamm, Harini Radhakrishnan, Hatem Barghathi +4

We present a controlled numerical study of the Berezinskii-Kosterlitz-Thouless (BKT) transition in the one-dimensional Bose-Hubbard model at unit filling, providing evidence of the…

cs.LG2024

Small Singular Values Matter: A Random Matrix Analysis of Transformer Models

Max Staats, Matthias Thamm, Bernd Rosenow

This work analyzes singular-value spectra of weight matrices in pretrained transformer models to understand how information is stored at both ends of the spectrum. Using Random Mat…

cond-mat.mes-hall2023★ 9 cited

Finite Soliton Width Matters: Investigating Non-equilibrium Exchange Phases of Anyons

Matthias Thamm, Bernd Rosenow

Unlike bosons and fermions, quasi-particles in two-dimensional quantum systems, known as anyons, exhibit statistical exchange phases that range between and . In fractional q…

cs.LG2023

Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning

Max Staats, Matthias Thamm, Bernd Rosenow

Large annotated datasets inevitably contain noisy labels, which poses a major challenge for training deep neural networks as they easily memorize the labels. Noise-robust loss func…

cond-mat.mes-hall2023★ 5 cited

Topological gap protocol based machine learning optimization of Majorana hybrid wires

Matthias Thamm, Bernd Rosenow

Majorana zero modes in superconductor-nanowire hybrid structures are a promising candidate for topologically protected qubits with the potential to be used in scalable structures.…

cond-mat.quant-gas2023★ 1 cited

A Scaling Function for the Particle Entanglement Entropy of Fermions

Harini Radhakrishnan, Matthias Thamm, Hatem Barghathi +2

Entanglement entropy under a particle bipartition provides complementary information to mode entanglement as it is sensitive to interactions and particle statistics at leading orde…

cond-mat.mes-hall2022★ 14 cited

Machine learning optimization of Majorana hybrid nanowires

Matthias Thamm, Bernd Rosenow

As the complexity of quantum systems such as quantum bit arrays increases, efforts to automate expensive tuning are increasingly worthwhile. We investigate machine learning based t…

cond-mat.quant-gas2022★ 6 cited

One-particle entanglement for one dimensional spinless fermions after an interaction quantum quench

Matthias Thamm, Harini Radhakrishnan, Hatem Barghathi +2

Particle entanglement provides information on quantum correlations in systems of indistinguishable particles. Here, we study the one particle entanglement entropy for an integrable…

cond-mat.dis-nn2022★ 3 cited

Boundary between noise and information applied to filtering neural network weight matrices

Max Staats, Matthias Thamm, Bernd Rosenow

Deep neural networks have been successfully applied to a broad range of problems where overparametrization yields weight matrices which are partially random. A comparison of weight…

cond-mat.dis-nn2022★ 15 cited

Random matrix analysis of deep neural network weight matrices

Matthias Thamm, Max Staats, Bernd Rosenow

Neural networks have been used successfully in a variety of fields, which has led to a great deal of interest in developing a theoretical understanding of how they store the inform…

cond-mat.mes-hall2020★ 11 cited

Transmission Amplitude through a Coulomb blockaded Majorana Wire

Matthias Thamm, Bernd Rosenow

We study coherent electronic transport through a Coulomb blockaded superconducting Rashba wire in the co-tunneling regime between conductance resonances. By varying an external Zee…