29 citations · 75 across the 10 of their papers we have counts for
13 papers
Fault-Tolerant Logical Operations and Efficient State Preparation in Modular Quantum Architectures with Noisy Interfaces
Siddardha Chelluri, S. Siddardha Chelluri, Riccardo Mengoni +4
Modular quantum computing is a leading paradigm for scaling quantum computation beyond the resource limitations of monolithic devices. In this architecture, multiple quantum proces…
Efficient Gate Reordering for Distributed Quantum Compiling in Data Centers
Riccardo Mengoni, Walter Nadalin, Mathys Rennela +5
Just as classical computing relies on distributed systems, the quantum computing era requires new kinds of infrastructure and software tools. Quantum networks will become the backb…
Molecular Docking via Weighted Subgraph Isomorphism on Quantum Annealers
Emanuele Triuzzi, Riccardo Mengoni, Francesco Micucci +4
Molecular docking is an essential step in the drug discovery process involving the detection of three-dimensional poses of a ligand inside the active site of the protein. In this p…
Machine-learning based noise characterization and correction on neutral atoms NISQ devices
Ettore Canonici, Stefano Martina, Riccardo Mengoni +2
Neutral atoms devices represent a promising technology that uses optical tweezers to geometrically arrange atoms and modulated laser pulses to control the quantum states. A neutral…
Quantum median filter for Total Variation image denoising
Simone De Santis, Damiana Lazzaro, Riccardo Mengoni +1
In this new computing paradigm, named quantum computing, researchers from all over the world are taking their first steps in designing quantum circuits for image processing, throug…
Entanglement entropy production in Quantum Neural Networks
Marco Ballarin, Stefano Mangini, Simone Montangero +2
Quantum Neural Networks (QNN) are considered a candidate for achieving quantum advantage in the Noisy Intermediate Scale Quantum computer (NISQ) era. Several QNN architectures have…
Computing Graph Edit Distance with Algorithms on Quantum Devices
Massimiliano Incudini, Fabio Tarocco, Riccardo Mengoni +2
Distance measures provide the foundation for many popular algorithms in Machine Learning and Pattern Recognition. Different notions of distance can be used depending on the types o…
Quantum Molecular Unfolding
Kevin Mato, Riccardo Mengoni, Daniele Ottaviani +1
Molecular Docking (MD) is an important step of the drug discovery process which aims at calculating the preferred position and shape of one molecule to a second when they are bound…
Facial Expression Recognition on a Quantum Computer
Riccardo Mengoni, Massimiliano Incudini, Alessandra Di Pierro
We address the problem of facial expression recognition and show a possible solution using a quantum machine learning approach. In order to define an efficient classifier for a giv…
Breaking RSA Security With A Low Noise D-Wave 2000Q Quantum Annealer: Computational Times, Limitations And Prospects
Riccardo Mengoni, Daniele Ottaviani, Paolino Iorio
The RSA cryptosystem could be easily broken with large scale general purpose quantum computers running Shor's factorization algorithm. Being such devices still in their infancy, a…
Persistent homology analysis of multiqubit entanglement
Riccardo Mengoni, Alessandra DI Pierro, Laleh Memarzadeh +1
We introduce a homology-based technique for the analysis of multiqubit state vectors. In our approach, we associate state vectors to data sets by introducing a metric-like measure…
Homological analysis of multi-qubit entanglement
Alessandra Di Pierro, Stefano Mancini, Laleh Memarzadeh +1
We propose the usage of persistent homologies to characterize multipartite entanglement. On a multi-qubit data set we introduce metric-like measures defined only in terms of bipart…
Entanglement from dissipative dynamics into overlapping environments
Riccardo Mengoni, Laleh Memarzadeh, Stefano Mancini
We consider two ensembles of qubit dissipating into two overlapping environments, that is with a certain number of qubit in common that dissipate into both environments. We then st…