205 citations · 1.1k across the 39 of their papers we have counts for
40 papers
Optimized Compilation for Distributed Quantum Computing
Michele Bandini, Davide Ferrari, Stefano Carretta +1
In many practical applications, quantum algorithms require several qubits, significantly more than those available with current noisy intermediate-scale quantum processors. Distrib…
An efficient algebraic representation for graph states for measurement-based quantum computing
Sebastiano Corli, Enrico Prati
Graph states are the main computational building blocks of measurement-based computation and a useful tool for error correction in the gate model architecture. The graph states for…
Optimization of the Memory Reset Rate of a Quantum Echo-State Network for Time Sequential Tasks
Riccardo Molteni, Claudio Destri, Enrico Prati
Quantum reservoir computing is a class of quantum machine learning algorithms involving a reservoir of an echo state network based on a register of qubits, but the dependence of it…
Quantum activation functions for quantum neural networks
Marco Maronese, Claudio Destri, Enrico Prati
The field of artificial neural networks is expected to strongly benefit from recent developments of quantum computers. In particular, quantum machine learning, a class of quantum a…
Quantum integration of elementary particle processes
Gabriele Agliardi, Michele Grossi, Mathieu Pellen +1
We apply quantum integration to elementary particle-physics processes. In particular, we look at scattering processes such as and ${\rm e}^+{\rm e…
Optimized compiler for Distributed Quantum Computing
Daniele Cuomo, Marcello Caleffi, Kevin Krsulich +4
Practical distributed quantum computing requires the development of efficient compilers, able to make quantum circuits compatible with some given hardware constraints. This problem…