2 citations · 2 across the 11 of their papers we have counts for
13 papers
Low order Carleman simulation of steady state flows at mild Reynolds numbers
Luca Cappelli, Massimo Berneschi, Sauro Succi
It is shown that the second-order Carleman truncation (C2) captures the steady state of the decaying forced logistic with second-order accuracy in the forcing parameter, provided s…
Comparative qualification of advanced plasma-facing materials for fusion pilot plants through public- and private-sector experiments in DIII-D
Florian Effenberg, Jonathan D. Coburn, Luca Cappelli +44
A coordinated DIII-D campaign exposed and comparatively assessed 44 advanced plasma-facing materials from 12 institutions, including four public-private fusion partnerships, to sup…
Lowest order Carleman linearization for low Reynolds long-term behaviour of fluid flow simulations
Luca Cappelli, Sauro Succi
It is shown that the lowest (second) order truncation of the Carleman linearization of the fluid equations (C2) recovers the late stage of the evolution, namely the steady-state so…
Schrödinger-Navier-Stokes Equation for the Quantum Simulation of Navier-Stokes Flows
Luca Cappelli, Sauro Succi, Monica Lacatus +2
The search for quantum-like wave formulations of the Navier-Stokes (Schrödinger-Navier-Stokes, SNS for short) equations describing classical dissipative fluids has met with increas…
A Quantum Genetic Algorithm with application to Cosmological Parameters Estimation
Giuseppe Sarracino, Vincenzo Fabrizio Cardone, Roberto Scaramella +14
An Amplitude-Encoded Quantum Genetic Algorithm (AEQGA) has been developed to minimize functions of different cosmological probes (Supernovae Type Ia, Baryon Acoustic Oscillat…
Block encoding of sparse matrices with a periodic diagonal structure
Alessandro Andrea Zecchi, Claudio Sanavio, Luca Cappelli +3
Block encoding is a successful technique used in several powerful quantum algorithms. In this work we provide an explicit quantum circuit for block encoding a sparse matrix with a…
The foundational value of quantum computing for classical fluids
Sauro Succi, Claudio Sanavio, Peter Love
Quantum algorithms for classical physics problems expose new patterns of quantum information flow as compared to the many-body Schrödinger equation. As a result, besides their pote…
Quantum Markov Chain Monte Carlo for Cosmological Functions
Giuseppe Sarracino, Vincenzo Fabrizio Cardone, Roberto Scaramella +14
We present an implementation of Quantum Computing for a Markov Chain Monte Carlo method with an application to cosmological functions, to derive posterior distributions from cosmol…
Quantum Algorithm for the Fixed-Radius Neighbor Search
Luca Cappelli, Claudio Sanavio, Alessandro Andrea Zecchi +2
Neighbor search is a computationally demanding problem, usually both time- and memory-consuming. The main problem of this kind of algorithms is the long execution time due to cache…
The Application of Quantum Fourier Transform in Cosmic Microwave Background Data Analysis
Farida Farsian, Tiziana Trombetti, Carlo Burigana +11
The Cosmic Microwave Background (CMB) data analysis and the map-making process rely heavily on the use of spherical harmonics. For suitable pixelizations of the sphere, the (forwar…
Numerical limits in the integration of Vlasov-Poisson equation for Cold Dark Matter
Luca Cappelli, Giuseppe Murante, Stefano Borgani +12
The Vlasov-Poisson systems of equations (VP) describes the evolution of a distribution of collisionless particles under the effect of a collective-field potential. VP is at the bas…
Benchmarking Quantum Convolutional Neural Networks for Signal Classification in Simulated Gamma-Ray Burst Detection
Farida Farsian, Nicolò Parmiggiani, Alessandro Rizzo +12
This study evaluates the use of Quantum Convolutional Neural Networks (QCNNs) for identifying signals resembling Gamma-Ray Bursts (GRBs) within simulated astrophysical datasets in…
From Vlasov-Poisson to Schrödinger-Poisson: dark matter simulation with a quantum variational time evolution algorithm
Luca Cappelli, Francesco Tacchino, Giuseppe Murante +2
Cosmological simulations describing the evolution of density perturbations of a self-gravitating collisionless Dark Matter (DM) fluid in an expanding background, provide a powerful…