Quantic

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2025

Fermionic Magic Resources of Quantum Many-Body Systems

P. Sierant, P. Stornati, and X. Turkeshi
Tensor Network for Anomaly Detection in the Latent Space of Proton Collision Events at the LHC

E. Puljak, M. Pierini, and A. García-Sáez
Reinforcement Learning Based Quantum Circuit Optimization via ZX-Calculus

Quantum

J. Riu, J. Nogué, G. Vilaplana, A. Garcia-Sáez, and M. P. Estarellas
Scalable 2-local architecture for quantum annealing of Ising models with arbitrary dimensions

Physical Review Applied

A. Palacios, A. Garcia-Sáez, B. Juliá-Díaz, and M. P. Estarellas
Magic spreading in random quantum circuits

Nature Communications

X. Turkeshi, E. Tirrito, and P. Sierant
Overcoming the entanglement barrier with sampled tensor networks

S. Carignano, G. Lami, J. De Nardis, and L. Tagliacozzo
Distributed Quantum Circuit Cutting for Hybrid Quantum-Classical High-Performance Computing

M. Tejedor, B. Casas, J. Conejero, A. Cervera-Lierta, and R. M. Badia
Quantum simulation of one-dimensional fermionic systems with Ising Hamiltonians

Physical Review B

M. Werner, A. Garcia-Sáez, and M. P. Estarellas
Universality of entanglement in gluon dynamics

C. Núñez, A. Cervera-Lierta, and J. Ignacio Latorre
Extrae.jl: Julia bindings for the Extrae HPC Profiler

S. Sanchez-Ramirez, and M. Giordano
Quantum Circuits for High-Dimensional Absolutely Maximally Entangled States

B. Casas, G. Rajchel-Mieldzioć, S. Ahmad Rather, M. Płodzień, W. Bruzda, A. Cervera-Lierta, and K. Życzkowski
Spatio-temporal tensor-network approaches to out-of-equilibrium dynamics bridging open and closed systems

S. Cerezo-Roquebrún, A. Bou-Comas, J. T. Schneider, E. López, L. Tagliacozzo, and S. Carignano
Magic dynamics in many-body localized systems

P. R. NicáciFalcão, P. Sierant, J. Zakrzewski, and E. Tirrito
An Accurate Efficient Analytic Model of Fidelity under Depolarizing Noise oriented to Large Scale Quantum System Design

P. Escofet, S. Rodrigo, A. García-Sáez, E. Alarcon, S. Abadal, and C. G. Almudéver
tn4ml: Tensor Network Training and Customization for Machine Learning

E. Puljak, S. Sanchez-Ramirez, S. Masot-Llima, J. Vallès-Muns, A. García-Sáez, and M. Pierini
Probing dielectric breakdown in Mott insulators through current oscillations

J. Triadú-Galí, A. García-Sáez, B. Juliá-Díaz, and A. Pérez-Obiol
Advantages of Density in Tensor Network Geometries for Gradient-Based Training

Algorithms

S. Masot-Llima, and A. Garcia-Sáez

2024

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