activity
20202026
most citedAnalysis of Quantum Image Representations for Supervised Classification

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Learning Topological Quantum Phases from Limited Subsystems

Mehran Khosrojerdi, Sougato Bose, Alessandro Cuccoli +3

Characterizing quantum topological phases requires measuring non-local string order parameters, demanding access to the full system, which is often experimentally unfeasible. In th…

quant-ph2025

Unsupervised Learning to Recognize Quantum Phases of Matter

Mehran Khosrojerdi, Alessandro Cuccoli, Paola Verrucchi +1

Drawing the quantum phase diagram of a many-body system in the parameter space of its Hamiltonian can be seen as a learning problem, which implies labelling the corresponding groun…

quant-ph2025★ 1 cited

Analysis of Quantum Image Representations for Supervised Classification

Marco Parigi, Mehran Khosrojerdi, Filippo Caruso +1

In the era of big data and artificial intelligence, the increasing volume of data and the demand to solve more and more complex computational challenges are two driving forces for…

quant-ph2024

Learning to Classify Quantum Phases of Matter with a Few Measurements

Mehran Khosrojerdi, Jason L. Pereira, Alessandro Cuccoli +1

We study the identification of quantum phases of matter, at zero temperature, when only part of the phase diagram is known in advance. Following a supervised learning approach, we…

cond-mat.supr-con2020

Tuning of quantum entanglement of a superconductor by Transition-metal and Rare-earth impurity effect and the role of potential scattering on quantum phase transition

N. Ebrahimian, M. Khosrojerdi, R. Afzali

By considering transition-metal (Shiba-Rusinov model) and rare-earth metal impurities (Abrikosov-Gor'kov theory) effect on a many-body system, i.e., a BCS s-wave superconductor, qu…