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20242026
most citedThe Augmented Tree Tensor Network Cookbook

1 citations · 1 across the 6 of their papers we have counts for

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quant-ph2026

Preparation and detection of quasiparticles for quantum simulations of scattering

Mattia Morgavi, Peter Majcen, Marco Rigobello +2

We introduce a method for the selective preparation and detection of quasiparticle wave packets, based on creation operators that generate dressed, localized excitations on top of…

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…

quant-ph2025

Superradiant decay in non-Markovian Waveguide Quantum Electrodynamics

Rosa Lucia Capurso, Giuseppe Calajó, Simone Montangero +5

An array of initially excited emitters coupled to a one-dimensional waveguide exhibits superradiant decay under the Born-Markov approximation, manifested as a coherent burst of pho…

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

Scattering and induced false vacuum decay in the two-dimensional quantum Ising model

Luka Pavešić, Marco Di Liberto, Simone Montangero

We study scattering in the quantum Ising model in two dimensions. In the ordered phase, the spectrum contains a ladder of bound states and intertwined scattering resonances, which…

quant-ph20251 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…