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20232026
most citedBenchmarking Quantum Convolutional Neural Networks for Signal Classification in Simulated Gamma-Ray Burst Detection

2 citations · 2 across the 11 of their papers we have counts for

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quant-ph2026

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…

quant-ph2026

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…

quant-ph2026

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…

quant-ph2025

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…

quant-ph2025

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…

quant-ph2023

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…