activity
20092026
most citedMany-body localization edge in the random-field Heisenberg chain

1.1k citations · 4.8k across the 68 of their papers we have counts for

collaborators

68 papers

cond-mat.str-el2026

Sign-optimized Quantum Monte Carlo

Julius S. Herz, Robin Schäfer, Matías G. Gonzalez +1

The sign problem breaks the polynomial scaling of Quantum Monte Carlo methods. We alleviate it by rotation of the local basis of the Hilbert space, such that the phase of off-diago…

quant-ph2026

Disorder-enhanced compressibility of Floquet random quantum circuits

Francesca De Franco, Dante M. Kennes, David J. Luitz +2

Current quantum hardware is limited by noise and decoherence, which restrict the depth of unitary circuits that can be implemented with high fidelity. We investigate how the compre…

cond-mat.str-el2026

Hamiltonian Monte Carlo enhanced by Exact Diagonalization

Finn L. Temmen, Martina Gisti, David J. Luitz +2

Strongly correlated fermionic systems are of great interest in condensed matter physics and numerical methods are indispensable tools for their study. However, existing approaches…

quant-ph2025

Random matrix perspective on probabilistic error cancellation

Leonhard Moske, Pedro Ribeiro, Tomaž Prosen +3

Probabilistic error cancellation is an attempt to reverse the effect of dissipative noise channels on quantum computers by applying unphysical channels after the execution of a qua…

cond-mat.str-el2025★ 1 cited

Thermodynamics of the Heisenberg antiferromagnet on the maple-leaf lattice

Robin Schäfer, Paul L. Ebert, Noah Hassan +3

We study the Heisenberg antiferromagnet on the maple-leaf lattice using several numerical approaches, focusing on the numerical linked-cluster expansion (NLCE), which exhibits an u…

quant-ph2025

Quantum process tomography of a compressed time evolution circuit on superconducting quantum processors

Maria Dinca, David J. Luitz, Maxime Debertolis

As present day quantum hardware is limited by various noise mechanisms, quantum advantage can only be reached in the near-term by designing noise-resilient quantum algorithms. In t…