40 citations · 98 across the 21 of their papers we have counts for
21 papers
Machine Learning-Based Characterisation of the Non-Markovian Dynamics of a Nitrogen-Vacancy Centre
Tom Lannon, Mauro Paternostro, John Martin Gregg +1
The interaction between a quantum system and its environment can be characterized by the spectral density function: knowing its structure is important for optimizing applications o…
Improving device-independent quantum key distribution protocols through multiple routed Bell tests
Sujan Vijayaraj, Mauro Paternostro
Device-independent quantum key distribution (DI-QKD) guarantees security with a minimal set of assumptions about the experimental setup. The challenge posed by its implementation c…
Efficient classical training of model-free quantum photonic reservoir
Rosario Di Bartolo, Valeria Cimini, Giorgio Minati +10
Model-independent estimation of the properties of quantum states is a central challenge in quantum technologies, as experimental imperfections, drifts, and imprecise models of the…
Entangled photons from quantum-dot-cavity systems under non-Markovian decoherence by pulsed excitation
Katy Snow, Mauro Paternostro
Cascaded emission from the biexciton state of a quantum dot results in polarization entangled photon pairs. Cavity-enhancement of the direct two-photon emission channel bypasses th…
Revealing the non-classicality of a molecular nanomagnet
Alessandra Cammarata, Steve Campbell, Mauro Paternostro
Molecular nanomagnets are compounds characterized by a high-spin magnetic core that is protected by organic ligands. They have recently gained attention as potential quantum inform…
Stochastic Quantum Information Geometry and Speed Limits at the Trajectory Level
Pedro B. Melo, Pedro V. Paraguassú, Sílvio M. Duarte Queirós +3
In quantum metrology, precision is typically characterized by an ensemble-averaged quantity, the quantum Fisher information (QFI), which averages over the fluctuations of individua…
Testing Noise Correlations by an AI-Assisted Two-Qubit Quantum Sensor
Dario Fasone, Shreyasi Mukherjee, Mauro Paternostro +3
We introduce and validate a machine learning-assisted protocol to classify time and space correlations of classical noise acting on a quantum system, using two interacting qubits a…
Robustness of the quantum Mpemba effect against state-preparation errors
Matthew Mackinnon, Mauro Paternostro
The quantum Mpemba effect (QME) is a phenomenon observed in many-body systems where initial systems configurations farther from equilibrium can be observed to equilibrate faster th…
Detection of noise correlations in two qubit systems by Machine Learning
Dario Fasone, Shreyasi Mukherjee, Dario Penna +5
We introduce and validate a machine-learning assisted quantum sensing protocol to classify spatial and temporal correlations of classical noise affecting two ultrastrongly coupled…
Inferring Quantum Network Topologies using Genetic Optimisation of Indirect Measurements
Conall J. Campbell, Matthew Mackinnon, Mauro Paternostro +1
The characterisation of quantum networks is fundamental to understanding how energy and information propagates through complex systems, with applications in control, communication,…
Strategies for entanglement distribution in optical fiber networks
Hannah McAleese, Anuj Agrawal, Vivek Vasan +5
Distributing entanglement over long distances remains a challenge due to its fragility when exposed to environmental effects. In this work, we compare various entanglement distribu…
Critical assessment of information back-flow in measurement-free teleportation
Hannah McAleese, Mauro Paternostro
We assess a scheme for measurement-free quantum teleportation from the perspective of the resources underpinning its performance. In particular, we focus on recently made claims ab…
Distributing quantum correlations through local operations and classical resources
Adam G. Hawkins, Hannah McAleese, Mauro Paternostro
Distributing quantum correlations to each node of a network is a key aspect of quantum networking. Here, we present a robust, physically motivated protocol by which global quantum…
Information flow-enhanced precision in collisional quantum thermometry
Taysa M. Mendonça, Diogo O. Soares-Pinto, Mauro Paternostro
We describe and analyze a quantum thermometer based on a multilayered collisional model. We propose a qubit system whose architecture provides significant sensitivity even for shor…
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…
System-environment quantum information flow
Taysa M. Mendonça, Lucas C. Céleri, Mauro Paternostro +1
The return of the information from the environment to the system is a phenomenon can be related to existence of non-Markovian mechanisms in the environment and such transformation…
Experimental signature of initial quantum coherence on entropy production
S. Hernández-Gómez, S. Gherardini, A. Belenchia +3
We report the experimental quantification of the contribution to non-equilibrium entropy production that stems from the quantum coherence content in the initial state of a qubit ex…
The role of quantum coherence in energy fluctuations
S. Gherardini, A. Belenchia, M. Paternostro +1
We discuss the role of quantum coherence in the energy fluctuations of open quantum systems. To this aim, we introduce a protocol, to which we refer to as the end-point-measurement…
The role of quantum coherence in energy fluctuations
S. Gherardini, A. Belenchia, M. Paternostro +1
We discuss the role of quantum coherence in the energy fluctuations of open quantum systems. To this aim, we introduce an operational protocol, to which we refer to as the end-poin…
Versatile Atomic Magnetometry Assisted by Bayesian Inference
R. Puebla, Y. Ban, J. F. Haase +3
Quantum sensors typically translate external fields into a periodic response whose frequency is then determined by analyses performed in Fourier space. This allows for a linear inf…
Experimental Demonstration of non-Markovian Dynamics via a Temporal Bell-like Inequality
A. M. Souza, J. Li, D. O. Soares-Pinto +5
We assess non-Markovianity of a quantum open-system dynamics through the violation of temporal bell-like inequalities in a controllable Nuclear Magnetic Resonance system. We invest…