28 citations · 33 across the 3 of their papers we have counts for
4 papers
Benchmarking Quantum Convolutional Neural Networks and their classical surrogates on long-range strongly correlated models
Tatiana A. Bespalova, Réka Schwengelbeck, Laura Mismetti +3
We benchmark quantum convolutional neural networks (QCNNs) and their classical surrogates for phase differentiation in one-dimensional strongly correlated systems with beyond-neare…
Simulating the Fermi-Hubbard model with long-range hopping on a quantum computer
Tatiana A. Bespalova, Karlo Delić, Guido Pupillo +2
We investigate the performance and accuracy of digital quantum algorithms for the study of static and dynamic properties of the fermionic Hubbard model at half-filling with next-ne…
Quantum simulation and ground state preparation for the honeycomb Kitaev model
Tatiana A. Bespalova, Oleksandr Kyriienko
We propose a quantum protocol that allows preparing a ground state (GS) of the honeycomb Kitaev model. Our approach efficiently uses underlying symmetries and techniques from topol…
Hamiltonian operator approximation for energy measurement and ground state preparation
Tatiana A. Bespalova, Oleksandr Kyriienko
The Hamiltonian operator plays a central role in quantum theory being a generator of unitary quantum dynamics. Its expectation value describes the energy of a quantum system. Typic…