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9 papers · 2 filters
Extractable energy from quantum superposition of current states
Francesco Perciavalle, Davide Rossini, Juan Polo +1
We explore the energy content of superpositions of current states. Specifically, we focus on the maximum energy that can be extracted from them through local unitary transformation…
Entanglement enhancement induced by noise in inhomogeneously monitored systems
Cristiano Muzzi, Mikheil Tsitsishvili, Giuliano Chiriacò
We study how stronger noise can enhance the entanglement in inhomogeneously monitored quantum systems. We consider a free fermions model composed of two coupled chains - a system c…
Attention-Based Deep Reinforcement Learning for Qubit Allocation in Modular Quantum Architectures
Enrico Russo, Maurizio Palesi, Davide Patti +2
Modular, distributed and multi-core architectures are currently considered a promising approach for scalability of quantum computing systems. The integration of multiple Quantum Pr…
Noise Classification in Three-Level Quantum Networks by Machine Learning
Shreyasi Mukherjee, Dario Penna, Fabio Cirinnà +4
We investigate a machine learning based classification of noise acting on a small quantum network with the aim of detecting spatial or multilevel correlations, and the interplay wi…
A unified diagrammatic approach to quantum transport in few-level junctions for bosonic and fermionic reservoirs: Application to the quantum Rabi model
L. Magazzù, E. Paladino, M. Grifoni
We apply the Nakajima-Zwanzig approach to open quantum systems to study steady-state transport across generic multi-level junctions coupled to bosonic or fermionic reservoirs. The…
Quantum superpositions of current states in Rydberg-atom networks
Francesco Perciavalle, Davide Rossini, Juan Polo +2
Quantum simulation of many-body quantum systems using Rydberg-atom platforms has become of extreme interest in the last years. The possibility to realize spin Hamiltonians and the…