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Laura d'Avossa

dblp:363/0988 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0006-0433-7681ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Emerging computing paradigms · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Emerging computing paradigms
quantum computer architecture
0.912025
Modeling Quantum Transduction for Multipartite Entanglement Distribution · IEEE Trans. Commun. 2025
Emerging computing paradigms › quantum communication
quantum internet
0.912025
Modeling Quantum Transduction for Multipartite Entanglement Distribution · IEEE Trans. Commun. 2025
Emerging computing paradigms › quantum computer architecture › quantum network
entanglement distribution
0.312025
Modeling Quantum Transduction for Multipartite Entanglement Distribution · IEEE Trans. Commun. 2025
Emerging computing paradigms
quantum computing and quantum information
0.312025
Modeling Quantum Transduction for Multipartite Entanglement Distribution · IEEE Trans. Commun. 2025

Methods — techniques the papers use, named apart from their topics

quantum capacity analysis · 0.9entanglement generation probability analysis · 0.9
YearPublicationVenuePosition
2025 Modeling Quantum Transduction for Multipartite Entanglement Distribution
abstract
Superconducting and photonic technologies are envisioned to play a key role in the Quantum Internet. However the hybridization of these technologies requires functional quantum transducers for converting superconducting qubits, exploited in quantum computation, into “flying” qubits, able to propagate through the network (and vice-versa). In this paper, quantum transduction is theoretically investigated for a key functionality of the Quantum Internet, namely, multipartite entanglement distribution. Different communication models for quantum transduction are provided, in order to make the entanglement distribution possible. The proposed models departs from the large heterogeneity of hardware solutions available in literature, abstracting from the particulars of the specific solutions with a communication engineering perspective. Then, a performance analysis of the proposed models is conducted through key communication metrics, such as quantum capacity and entanglement generation probability. The analysis reveals that – although the considered communication metrics depend on transduction hardware parameters for all the proposed models – the particulars of the considered transduction paradigm play a relevant role in the overall entanglement distribution performance.
Laura d'Avossa, Angela Sara Cacciapuoti, Marcello Caleffi
IEEE Trans. Commun.1