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20212026
most citedOptimized compiler for Distributed Quantum Computing

57 citations · 98 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2026

Hybrid quantum floating-point method for sharp arithmetic

Gabriele Agliardi, Enrico Prati

There are several possible ways to encode random variables in a quantum state. The basis encoding of bit strings has paramount importance because it allows to load the values of a…

quant-ph2026

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…

quant-ph2025

Quantum feature encoding optimization

Tommaso Fioravanti, Brian Quanz, Gabriele Agliardi +3

Quantum Machine Learning (QML) holds the promise of enhancing machine learning modeling in terms of both complexity and accuracy. A key challenge in this domain is the encoding of…

quant-ph2025

Portfolio construction using a sampling-based variational quantum scheme

Gabriele Agliardi, Dimitris Alevras, Vaibhaw Kumar +5

The efficient and effective construction of portfolios that adhere to real-world constraints is a challenging optimization task in finance. We investigate a concrete representation…

cs.ET2024★ 9 cited

Quantum data encoding as a distinct abstraction layer in the design of quantum circuits

Gabriele Agliardi, Enrico Prati

Complex quantum circuits are constituted by combinations of quantum subroutines. The computation is possible as long as the quantum data encoding is consistent throughout the circu…

hep-ph2022★ 32 cited

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…

quant-ph2021★ 57 cited

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…