227 citations · 485 across the 12 of their papers we have counts for
12 papers
Parallel QEC Decoding Applied to Distributed Quantum Computing
Gabriele Incardona, Davide Ferrari, Michele Amoretti
A novel parallel approach is proposed for QEC decoding based on Belief Propagation with Ordered Statistics Decoding. The main idea is to pre-process the error vectors obtained from…
Advanced Scheduling Strategies for Distributed Quantum Computing Jobs
Gongyu Ni, Davide Ferrari, Lester Ho +1
Distributed quantum computing (DQC) is being actively investigated as a means of scaling the number of qubits across multiple connected quantum devices. This includes quantum circu…
Multi-Class Quantum Convolutional Neural Networks
Marco Mordacci, Davide Ferrari, Michele Amoretti
Classification is particularly relevant to Information Retrieval, as it is used in various subtasks of the search pipeline. In this work, we propose a quantum convolutional neural…
Evaluation of Quantum and Hybrid Solvers for Combinatorial Optimization
Amedeo Bertuzzi, Davide Ferrari, Antonio Manzalini +1
Academic and industrial sectors have been engaged in a fierce competition to develop quantum technologies, fueled by the explosive advancements in quantum hardware. While universal…
A Design Framework for the Simulation of Distributed Quantum Computing
Davide Ferrari, Michele Amoretti
The growing demand for large-scale quantum computers is pushing research on Distributed Quantum Computing (DQC). Recent experimental efforts have demonstrated some of the building…
A Modular Quantum Compilation Framework for Distributed Quantum Computing
Davide Ferrari, Stefano Carretta, Michele Amoretti
For most practical applications, quantum algorithms require large resources in terms of qubit number, much larger than those available with current NISQ processors. With the networ…
Distributed Quantum Computing: a Survey
Marcello Caleffi, Michele Amoretti, Davide Ferrari +4
Nowadays, quantum computing has reached the engineering phase, with fully-functional quantum processors integrating hundred of noisy qubits available. Yet -- to fully unveil the po…
Classical and Quantum Solvers for Joint Network/Servers Power Optimization
Michele Amoretti, Davide Ferrari, Antonio Manzalini
The digital transformation that Telecommunications and ICT domains are crossing today, is posing several new challenges to Telecom Operators. These challenges require solving compl…
Noise-Adaptive Quantum Compilation Strategies Evaluated with Application-Motivated Benchmarks
Davide Ferrari, Michele Amoretti
Quantum compilation is the problem of translating an input quantum circuit into the most efficient equivalent of itself, taking into account the characteristics of the device that…
Deterministic Algorithms for Compiling Quantum Circuits with Recurrent Patterns
Davide Ferrari, Ivano Tavernelli, Michele Amoretti
Current quantum processors are noisy, have limited coherence and imperfect gate implementations. On such hardware, only algorithms that are shorter than the overall coherence time…
Compiler Design for Distributed Quantum Computing
Davide Ferrari, Angela Sara Cacciapuoti, Michele Amoretti +1
In distributed quantum computing architectures, with the network and communications functionalities provided by the Quantum Internet, remote quantum processing units (QPUs) can com…
Efficient and Effective Quantum Compiling for Entanglement-based Machine Learning on IBM Q Devices
Davide Ferrari, Michele Amoretti
Quantum compiling means fast, device-aware implementation of quantum algorithms (i.e., quantum circuits, in the quantum circuit model of computation). In this paper, we present a s…