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Marco Mordacci

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • quant-ph4
ORCID 0009-0001-1955-7197

identity via Semantic Scholar / OpenAlex

most citedMulti-Class Quantum Convolutional Neural Networks

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

quant-ph2025

Training Variational Quantum Circuits Using Particle Swarm Optimization

Marco Mordacci, Michele Amoretti

In this work, the Particle Swarm Optimization (PSO) algorithm has been used to train various Variational Quantum Circuits (VQCs). This approach is motivated by the fact that common…

quant-ph2025

Impact of Single Rotations and Entanglement Topologies in Quantum Neural Networks

Marco Mordacci, Michele Amoretti

In this work, an analysis of the performance of different Variational Quantum Circuits is presented, investigating how it changes with respect to entanglement topology, adopted gat…

quant-ph2025

Triplet Loss Based Quantum Encoding for Class Separability

Marco Mordacci, Mahul Pandey, Paolo Santini +1

An efficient and data-driven encoding scheme is proposed to enhance the performance of variational quantum classifiers. This encoding is specially designed for complex datasets lik…

quant-ph2024★ 1 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.