activity
20202026
most citedQuantifying the efficiency of state preparation via quantum variational eigensolvers

24 citations · 35 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Exact log-depth preparation of highly entangled matrix product states

Keisuke Murota, Frédéric Sauvage, Marco Ballarin +2

Preparing matrix product states (MPS) on a quantum device is a key subroutine in many quantum algorithms. The most competitive methods, based on the renormalisation group, prepare…

quant-ph2022★ 10 cited

Characterization of variational quantum algorithms using free fermions

Gabriel Matos, Chris N. Self, Zlatko Papić +2

We study variational quantum algorithms from the perspective of free fermions. By deriving the explicit structure of the associated Lie algebras, we show that the Quantum Approxima…

math-ph2021

Laughlin states change under large geometry deformations and imaginary time Hamiltonian dynamics

Gabriel Matos, Bruno Mera, José M. Mourão +2

We study the change of the Laughlin states under large deformations of the geometry of the sphere and the plane, associated with Mabuchi geodesics on the space of metrics with Hami…

cond-mat.str-el2021★ 1 cited

Emergence of Gaussianity in the thermodynamic limit of interacting fermions

Gabriel Matos, Andrew Hallam, Aydin Deger +2

Systems of interacting fermions can give rise to ground states whose correlations become effectively free-fermion-like in the thermodynamic limit, as shown by Baxter for a class of…

quant-ph2020★ 24 cited

Quantifying the efficiency of state preparation via quantum variational eigensolvers

Gabriel Matos, Sonika Johri, Zlatko Papić

Recently, there has been much interest in the efficient preparation of complex quantum states using low-depth quantum circuits, such as Quantum Approximate Optimization Algorithm (…