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20082026
most citedFlux-controlled quantum computation with Majorana fermions

345 citations · 1.8k across the 53 of their papers we have counts for

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12 papers · 1 filter

quant-ph2021★ 35 cited

Two-dimensional lattice gauge theory on a near-term quantum simulator: variational quantum optimization, confinement, and topological order

Luca Lumia, Pietro Torta, Glen B. Mbeng +4

We propose an implementation of a two-dimensional lattice gauge theory model on a shallow quantum circuit, involving a number of single and two-qubits gates comparab…

quant-ph2020★ 11 cited

lattice gauge theory in a ladder geometry

Jens Nyhegn, Chia-Min Chung, Michele Burrello

Under the perspective of realizing analog quantum simulations of lattice gauge theories, ladder geometries offer an intriguing playground, relevant for ultracold atom experiments.…

quant-ph2019★ 26 cited

Gauge Theories with Ultracold Atoms

João C. Pinto Barros, Michele Burrello, Andrea Trombettoni

We discuss and review in this chapter the developing field of research of quantum simulation of gauge theories with ultracold atoms.

quant-ph2016★ 52 cited

Projected Entangled Pair States with non-Abelian gauge symmetries: an SU(2) study

Erez Zohar, Thorsten B. Wahl, Michele Burrello +1

Over the last years, Projected Entangled Pair States have demonstrated great power for the study of many body systems, as they naturally describe ground states of gapped many body…

quant-ph2015★ 55 cited

Building Projected Entangled Pair States with a Local Gauge Symmetry

Erez Zohar, Michele Burrello

Tensor network states, and in particular projected entangled pair states (PEPS), suggest an innovative approach for the study of lattice gauge theories, both from a pure theoretic…

quant-ph2015★ 60 cited

Fermionic Projected Entangled Pair States and Local U(1) Gauge Theories

Erez Zohar, Michele Burrello, Thorsten B. Wahl +1

Tensor networks, and in particular Projected Entangled Pair States (PEPS), are a powerful tool for the study of quantum many body physics, thanks to both their built-in ability of…