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20212025
most citedSimulating quantum circuits using tree tensor networks

22 citations · 36 across the 5 of their papers we have counts for

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5 papers

quant-ph2025

Measurement-induced entanglement in noisy 2D random circuits

Zhi-Yuan Wei, Jon Nelson, Joel Rajakumar +4

We study measurement-induced entanglement (MIE) generated by column-by-column sampling of noisy 2D random circuits of size and depth . Focusing primarily on Clifford circuit…

quant-ph2025

Quantum Simulation of Dynamical Response Functions of Equilibrium States

Esther Cruz, Dominik S. Wild, Mari Carmen Bañuls +1

The computation of dynamical response functions is central to many problems in condensed matter physics. Owing to the rapid growth of quantum correlations following a quench, class…

quant-ph2022

A practical overview of image classification with variational tensor-network quantum circuits

Diego Guala, Shaoming Zhang, Esther Cruz +3

Circuit design for quantum machine learning remains a formidable challenge. Inspired by the applications of tensor networks across different fields and their novel presence in the…

quant-ph2022★ 22 cited

Simulating quantum circuits using tree tensor networks

Philipp Seitz, Ismael Medina, Esther Cruz +2

We develop and analyze a method for simulating quantum circuits on classical computers by representing quantum states as rooted tree tensor networks. Our algorithm first determines…

quant-ph2021★ 14 cited

Preparation and verification of tensor network states

Esther Cruz, Flavio Baccari, Jordi Tura +2

We consider a family of tensor network states defined on regular lattices that come with a natural definition of an adiabatic path to prepare them. This family comprises relevant c…