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10 papers · 2 filters
A Novel Single-Layer Quantum Neural Network for Approximate SRBB-Based Unitary Synthesis
Giacomo Belli, Marco Mordacci, Michele Amoretti
In this work, a novel quantum neural network is introduced as a means to approximate any unitary evolution through the Standard Recursive Block Basis (SRBB) and is subsequently red…
Resource-efficient quantum correlation measurements via multicopy neural network methods
Patrycja Tulewicz, Karol Bartkiewicz, Adam Miranowicz +1
Measuring complex properties in quantum systems, such as measures of quantum entanglement and Bell nonlocality, is inherently challenging. Traditional methods, like quantum state t…
Compact Multi-Threshold Quantum Information Driven Ansatz For Strongly Interactive Lattice Spin Models
Fabio Tarocco, Davide Materia, Leonardo Ratini +1
Quantum algorithms based on the variational principle have found applications in diverse areas with a huge flexibility. But as the circuit size increases the variational landscapes…
Quantum information theory on sparse wavefunctions and applications for Quantum Chemistry
Davide Materia, Leonardo Ratini, Leonardo Guidoni
In recent years Quantum Computing prominently entered in the field of Computational Chemistry, importing and transforming computational methods and ideas originally developed withi…
Detecting quasi-degenerate ground states in topological models via variational quantum eigensolver
Carola Ciaramelletti, Martin Beseda, Mirko Consiglio +3
We study the exact ground states of the Su--Schrieffer--Heeger open chain and of the Kitaev open chain, using the Variational Quantum Eigensolver (VQE) algorithm. These models host…
Atomic Quantum Technologies for Quantum Matter and Fundamental Physics Applications
Jorge Yago Malo, Luca Lepori, Laura Gentini +1
Physics is living an era of unprecedented cross-fertilization among the different areas of science. In this perspective review, we discuss the manifold impact that ultracold-atom q…