◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

G. Magnifico

4 papers hereh-index 10309 citations16 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cond-mat.quant-gas1
  • cs.CR1
  • hep-lat1
  • quant-ph1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

quant-ph2025

Percolation thresholds and connectivity in quantum networks

Andrea De Girolamo, Giuseppe Magnifico, Cosmo Lupo

We study entanglement percolation in qubit-based planar quantum network models of arbitrary topology, where neighboring nodes are initially connected by pure states with quenched d…

cs.CR2024

Integer Factorization via Tensor Network Schnorr's Sieving

Marco Tesoro, Ilaria Siloi, Daniel Jaschke +2

Classical public-key cryptography standards rely on the Rivest-Shamir-Adleman (RSA) encryption protocol. The security of this protocol is based on the exponential computational com…

hep-lat2024

Tensor Networks for Lattice Gauge Theories beyond one dimension: a Roadmap

Giuseppe Magnifico, Giovanni Cataldi, Marco Rigobello +4

Tensor network methods are a class of numerical tools and algorithms to study many-body quantum systems in and out of equilibrium, based on tailored variational wave functions. The…

cond-mat.quant-gas2024

Quantum Many-Body Scarring in a Non-Abelian Lattice Gauge Theory

Giuseppe Calajò, Giovanni Cataldi, Marco Rigobello +5

Quantum many-body scarring (QMBS) is an intriguing mechanism of weak ergodicity breaking that has recently spurred significant attention. Particularly prominent in Abelian lattice…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.