57 citations · 98 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
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…