activity
20142026
most citedA positive tensor network approach for simulating open quantum many-body systems

190 citations · 786 across the 30 of their papers we have counts for

collaborators

32 papers

cond-mat.quant-gas2026

Boundary-induced geometrical frustration in a square Rydberg-atom lattice

Marco Rigobello, Luka Pavešić, Daniel Jaschke +4

We study geometric defects in square-lattice Rydberg-atom arrays induced by lattice-size parity in the striated density-wave phase. While odd-sized lattices select a single striate…

quant-ph2026

Quantum algorithms for compact polymer thermodynamics

Davide Rattacaso, Daniel Jaschke, Antonio Trovato +2

Efficient sampling from ensembles of Hamiltonian cycles is critical for predicting the thermodynamic properties of compact polymers, with applications including modeling protein an…

cs.LG2026

Towards Tensor Network Models for Low-Latency Jet Tagging on FPGAs

Alberto Coppi, Ema Puljak, Lorenzo Borella +6

We present a systematic study of Tensor Network (TN) models $\unicode{x2013}$ Matrix Product States (MPS) and Tree Tensor Networks (TTN) $\unicode{x2013}$ for real-time jet tagging…

quant-ph2025

Color code thresholds under circuit-level noise beyond the Pauli framework

Francesco Pio Barone, Daniel Jaschke, Ilaria Siloi +1

A quantum error correction code is assessed over its ability to correct errors in noisy quantum circuits. This task requires extensive simulations of faulty quantum circuits, which…

quant-ph2025★ 1 cited

Quantum algorithms for equational reasoning

Davide Rattacaso, Daniel Jaschke, Marco Ballarin +2

As a cornerstone of automated reasoning, equational reasoning finds equivalences between symbolic expressions and fuels advances across scientific disciplines. Yet, its potential r…

quant-ph2025★ 1 cited

The Augmented Tree Tensor Network Cookbook

Nora Reinić, Luka Pavešić, Daniel Jaschke +1

An augmented tree tensor network (aTTN) is a tensor network ansatz constructed by applying a layer of unitary disentanglers to a tree tensor network. The disentanglers absorb a par…