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Constantia Alexandrou (University of Cyprus, and The Cyprus Institute)28/09/2026, 09:00
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Thomas Lippert28/09/2026, 09:30
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Jiali Gao28/09/2026, 10:15
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Sabrina Maniscalco28/09/2026, 11:30
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Ellinor Haglund28/09/2026, 12:15
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Rayan Moussa (University of Wuppertal)28/09/2026, 15:00ESR talk
Algebraic multigrid methods are some of the most efficient methods used in the solution of large scale problems which often appear in engineering and physics theory and application. These methods rely entirely on the complementarity between a sequence of error relaxation processes each happening on a given scale within the hierarchy of scales present in the problem to be solved. The precise...
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Christian Schneider (University of Cyprus)28/09/2026, 15:30ESR talk
Isospin breaking, arising from electromagnetic interactions and the difference between the up- and down-quark masses, leads to small but phenomenologically important mass differences between hadrons. As lattice QCD calculations reach percent-level precision, these effects need to be included systematically.
In this work, we study isospin-breaking mass splittings within spin-1/2 and spin-3/2...
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Christian Kummer28/09/2026, 16:00ESR talk
Nucleon Mellin moments of parton distribution functions and generalized parton distributions are computed up to the fourth order in lattice QCD. The computation is performed using one ensemble of twisted mass fermions at the physical pion mass point. We employ boosted frames to access the higher-order Mellin moments of generalized parton distributions. We also extract the generalized...
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77. Computational Biophysics of Biomolecular Activation: From WAVE Complex Variants to GPCR DynamicsSong Xie (Forschungszentrum Jülich)28/09/2026, 17:00Invited talk
Computer simulations can provide unique atomistic insights into the molecular mechanisms underlying protein activation. Here, I will focus on two neurobiologically relevant systems: the WAVE regulatory complex (WRC) and the adenosine A2A receptor (A2AR), a G protein-coupled receptor (GPCR). Molecular dynamics simulations of the WRC identified common mechanistic features of autism-associated...
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Mr Sachin Shivakumar (Forschungszentrum Jülich GmbH)28/09/2026, 17:30ESR talk
Molecular dynamics simulations of protein–ligand systems are central to computer-aided drug discovery, but their reliability rests on the underlying force field. Metalloproteins are a particularly hard case: classical force fields describe metal coordination poorly, and reliable parameters are often unavailable. Quantum mechanics/molecular mechanics (QM/MM) molecular dynamics treats such sites...
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Gabriele Pierini (The Cyprus Institute, TU Berlin)28/09/2026, 18:00ESR talk
Studying hadrons can be challenging due to the non-perturbative nature of QCD. Parton Distribution Functions (PDFs), and their generalization Generalized Parton Distributions (GPDs), are objects that carry information about how quarks and gluons are distributed in hadrons such as protons and neutrons. The computation of GPDs from both theory and experiments is challenging, therefore extracting...
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Jacob Friedrich Finkenrath (Bergische Universitaet Wuppertal (DE))29/09/2026, 09:30Invited talk
I will review some of the recent machine learning applications in the field of lattice QCD. Based on that, I will discuss there possible application within application of lattice field theory simulations.
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Patrick Gallinari29/09/2026, 10:15
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Chiara Calascibetta (Université Côte d'Azur, CNRS, INPHYNI & Inria, Nice, France)29/09/2026, 11:30Invited talk
The dynamics of non-spherical particles in turbulence are governed by the interplay between inertia and orientation-dependent hydrodynamic forces. We investigate rigid fibers dynamics by bridging two asymptotic descriptions: the small-size limit described by Jeffery’s equation, and the finite-length limit captured by slender-body theory. This framework enables systematic variation of aspect...
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Mario Papace (Bergische Universität Wuppertal)29/09/2026, 12:00ESR talk
Disconnected quark-loop diagrams contribute to many key hadronic observables, from flavor-singlet spectroscopy to nucleon structure and the muon anomalous magnetic moment, but require traces of the inverse Dirac operator, which can only be estimated stochastically. Probing methods reduce the variance of such estimates by exploiting the exponential decay of the quark propagator: noise vectors...
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Ms Asmita Datta (University of Padova)29/09/2026, 12:30ESR talk
Shor’s factorization algorithm which factors integers in time polynomial to their bit-length, is a major milestone in the race to demonstratable quantum advantage because of its exponential speedup over currently available classical algorithms. It also provides an ideal testbed for benchmarking classical simulations of quantum algorithms and is particularly interesting as a stress test for...
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Lipi Thukral29/09/2026, 15:00Invited talk
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Samuele Pedrielli (Technische Universität Berlin, Università degli Studi di Padova)29/09/2026, 15:30ESR talk
Variational quantum algorithms operate in a challenging statistical regime: objective functions and gradients must be inferred from a finite number of noisy quantum measurements. In this talk I present uncertainty-aware and bias-aware statistical learning methods for optimizing parametrized quantum circuits, with a focus on the Variational Quantum Eigensolver.
This framework strengthens the...
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Francesco Fossella (Telecom-Paris & University of Rome "Tor Vergata")29/09/2026, 16:00ESR talk
"In chaotic systems, limited knowledge of initial conditions causes simulated dynamics to rapidly diverge from reality, severely undermining predictability and state estimation. However, integrating real-world observations, even if spatiotemporally sparse and noisy, effectively mitigates this divergence. The functional and optimal use of such imperfect data constitutes the core of Data...
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Henning Leemhuis (Bergische Universität Wuppertal)29/09/2026, 17:00Poster
Efficient solutions of large sparse linear systems arising in lattice quantum chromodynamics (LQCD) are essential for modern numerical simulations. In this work, we investigate the use of a direct solver, based on ScaLAPACK, as the coarsest-level solver within the DDalphaAMG software package. Instead of performing an iterative solve on the coarsest grid of the multigrid hierarchy, we employ a...
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Christos Iona (University of Cyprus & The Cyprus Institute)29/09/2026, 17:00Poster
We determine the nucleon axial and tensor charges at the continuum limit by analyzing four $N_f=2+1+1$ twisted mass fermion ensembles, with all quark masses tuned to approximately their physical values. We include both connected and disconnected contributions to determine the isovector and isoscalar charges and their flavor decomposition. Systematic uncertainties from excited-state...
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Georgios Pasias (University of Cyprus)29/09/2026, 17:00Poster
Surface tension driven flows in microchannels underpin numerous microfluidic technologies, including biomedical diagnostics, chemical processing and lab on a chip systems. High-fidelity computational fluid dynamics (CFD) simulations provide detailed predictions of the transient evolution of the liquid–gas interface and associated flow field, but their computational cost limits large-scale...
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Sofie Martins (University of Graz)29/09/2026, 17:00Poster
We present HiRep v2, an open-source software suite for high-performance lattice field theory simulations with dynamical Wilson fermions in higher representations of $SU(N_g)$ gauge groups. This new version fully supports graphics processing unit (GPU) acceleration, optimizing both gauge configuration generation and measurements for NVIDIA and AMD GPUs. HiRep v2 integrates improved gauge and...
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Bolun Hu29/09/2026, 17:00Poster
We present an ongoing lattice-QCD study of higher Mellin moments of pion and kaon parton distribution functions using the gradient-flow method. Building on previous work, we use twisted-mass ensembles with lighter pion masses and plan calculations at four lattice spacings. We investigate the flow-time dependence, continuum extrapolation, excited-state effects, and other systematic...
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Syed Muhammad Ali Hassan (The Cyprus Institute)29/09/2026, 17:00Poster
The quantum approximate optimization algorithm (QAOA) prepares candidate solutions to combinatorial optimization problems by alternating between operations that encode the objective function and a mixing operation that shift probability between candidate solutions. Gradient-based training of such circuits requires estimating how the measured cost changes when a circuit angle is varied. We...
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Ivana Boljat (Croatian Geological survey)29/09/2026, 17:00Poster
Karst aquifers are complex systems characterised by nonlinear recharge responses and heterogeneous groundwater flow. This study investigates whether unsupervised machine learning can independently distinguish deep karst from shallow karst (fluviokarst) in the northern Croatian Dinaric region.
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A multiparametric dataset comprising 5-year records of spring discharge, water temperature and... -
Jose Miguel Jimenez Merchan (Bergische Universität Wuppertal)29/09/2026, 17:00Poster
We study trace estimation for disconnected quark loop contributions in lattice QCD, focusing on single-time-slice traces such as $ \operatorname{Tr}\left[\Gamma_5(t)D^{-1}(t,t)\right]$. We build on the standard use of hopping-parameter expansions (HPE) in trace estimation, where the truncated term has bounded graph range and can be evaluated exactly using distance-(d) probing.
We first...
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Priyajit Jana (University of Cyprus, The Cyprus Institute)29/09/2026, 17:00Poster
We present the results of the nucleon helicity moments and generalized form factors in the isovector and isoscalar channels computed within lattice QCD. We analyzed four ensembles with $N_f=2+1+1$ twisted mass clover-improved fermions with the mass of the quarks tuned to their physical mass. The four ensembles have lattice spacings approximately $a=0.05 \,\text{fm}, 0.06 \,\text{fm}, 0.07...
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Srijit Paul (University of Cyprus)29/09/2026, 17:00Poster
The origin and flavor structure of the nucleon mass are fundamental questions in strong interaction physics. The nucleon sigma terms quantify the response of the nucleon mass to variations of the quark masses and provide direct access to its scalar matrix elements. We present a lattice QCD determination of the light, strange, and charm sigma terms using twisted-mass fermions at the physical...
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Yan Li29/09/2026, 17:00Poster
We determine the momentum fraction and angular momentum carried by quarks and gluons in the proton in lattice QCD. We use four ensembles simulated with up, down, strange and charm quarks with their masses tuned to their physical values.
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These ensembles have similar physical volume and different lattice spacings allowing us to take the continuum limit directly at the physical pion mass... -
Andreas Konstantinou (University of Cyprus & The Cyprus Institute)29/09/2026, 17:00Poster
In this poster we present the study of Λ-hyperon to proton transition in Lattice QCD. We use the computed form factors from LQCD, and apply it to a number of problems. For example, we compute the decay rate of the electron semi-leptonic decay, and by combining it with the experimental data we obtain $V_{us}$. Furthermore, we use this decay channel to search for possible physics beyond the...
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Anastasios Zeniou (University of Cyprus)29/09/2026, 17:00Poster
We present an inverse-design method that determines the chemical heterogeneity profile of a surface required to transport a droplet along a prescribed path. Droplet dynamics are simulated by employing a reduced-order model that reduces the lubrication equation to a system of ODEs for the Fourier harmonics of the contact line, and integrating this stiff system with an implicit adaptive...
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Mr Naveen Kumar Subramanian (The Cyprus Institute)29/09/2026, 17:00Poster
Abstract
Wetting dynamics plays a central role in applications such as coating processes, microfluidics, and green energy technologies. Despite extensive theoretical work, several aspects of the influence of droplet size on wetting dynamics remain unclear, particularly how nanoscale dynamics evolve toward macroscopic behaviour as the system size increases.
In this contribution, we...
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Ferenc Pittler (The Cyprus Institute)29/09/2026, 17:00Poster
The $\Delta(1232)$ resonance is the lowest-lying baryon excitation and provides an important testing ground for our understanding of hadron structure. In this talk, we will present recent lattice-QCD results on the resonance at the physical pion mass.
Using gauge ensembles with $N_f=2+1+1$ dynamical quark flavors, we investigate both the finite-volume spectrum of the resonance and its...
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Mr Stylianos Gregoriou (The Cyprus Institute)29/09/2026, 17:00Poster
We present a practical approach for implementing the overlap Dirac operator in Lattice QCD, combining the diagonal Kenney-Laub (KL) rational iterates for approximating the matrix sign function with the Brillouin operator as overlap kernel. The partial fraction decomposition of the KL iterates enables multi-shift conjugate gradient solvers, with all weights and shifts given by closed-form...
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Sofiene Jerbi (Freie Universität Berlin - Helmholtz Zentrum Berlin)30/09/2026, 09:30Invited talk
One of the core challenges of research in quantum computing is to understand whether quantum advantages can be found for problems of practical interest. In the field of quantum machine learning, we know for a few years now that proof-of-concept exponential advantages can be established in learning tasks derived from classically hard problems such as factoring or computing discrete logarithms....
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MICHELE PARRINELLO (Fondazione istituto italiano di tecnologia)30/09/2026, 10:15Invited talk
Molecular Dynamics simulations are a valuable tool for investigating a wide variety of phenomena at the atomistic scale. However, it is this very high resolution that limits the time scales accessible to such simulations. Typically, this limitation is overcome by deploying methods that require knowledge of the system's metastable states and an approximation of the reaction coordinate, referred...
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Alessandro Gabbana (University of Ferrara / INFN Ferrara)30/09/2026, 11:30Invited talk
The Lattice Boltzmann Method (LBM) has evolved into one of the most versatile computational frameworks for simulating complex fluids and multiscale flow phenomena. Its kinetic formulation naturally accommodates multiphase and multicomponent flows, thermal transport, fluid–structure interactions, porous media flows, and turbulence, while offering excellent scalability on modern high-performance...
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Simone Bacchio30/09/2026, 12:15
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Gunnar Bali01/10/2026, 09:30Invited talk
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Sauro Succi (Italian Institute of Technology)01/10/2026, 10:15Invited talk
In the recent years increasing attention has been directed towards the
the development of quantum algorithm for classical physics, most
notably fluid dynamics and other nonlinear transport phenomena.Solving fluid dynamics on quantum computers is a steep challenge
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on top of a challenge because, besides the notorious hurdles of
decoherence and loss of entanglement, the physics of... -
Ilaria Siloi01/10/2026, 11:30Invited talk
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Andreas Demou (The Cyprus Institute)01/10/2026, 12:00Invited talk
Mechanistic interpretability aspires to reverse engineer AI models by breaking down black-box weights and activations into human-understandable features and circuits. A leading approach for mechanistic interpretability is sparse dictionary learning, which trains an encoder to map activations into a sparse code and a decoder to reconstruct them. The corresponding architecture is called...
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Elisa Bellantoni (The Cyprus Institute, Tor Vergata University of Rome, Τélécom Paris)01/10/2026, 12:30ESR talk
The study of wetting is a captivating problem laying at the intersection between physics, chemistry and engineering. The multi-scale nature of this phenomenon makes it challenging to model, calling for advanced numerical techniques. We present an immersed boundary-lattice Boltzmann (IB-LB) method [[1]] to tackle this task, improving on existing work [[2]] in scope and applicability, in order...
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Prof. Michele Buzzicotti (University of Rome Tor Vergata and INFN)01/10/2026, 14:30Invited talk
Synthesizing fully developed three-dimensional turbulent velocity fields remains a long-standing problem in fluid mechanics and an open challenge for generative modeling. This difficulty arises from the combination of extreme dimensionality, multiscale fluctuations, strong intermittency, and the need to satisfy exact physical constraints, including incompressibility and prescribed mass and...
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Rocco Barač (University of Padova & University of Cyprus)01/10/2026, 15:00ESR talk
Quadratic unconstrained binary optimization (QUBO) problems arise naturally in spin glass models like the Sherrington-Kirkpatrick Hamiltonian, where strongly frustrated interactions create rugged energy landscapes. In this talk, I explore how the density matrix renormalization group (DMRG), the famous tensor network method used as a ground-state search algorithm, can be adapted as a heuristic...
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Lukas Müllender (KTH Royal Institute of Technology)01/10/2026, 15:30ESR talk
Hybrid machine learning/molecular mechanical (ML/MM) simulations are increasingly explored as an alternative to computationally expensive quantum mechanical (QM) methods, offering near first-principles accuracy at substantially reduced computational cost. Neural network potentials (NNPs) can reproduce QM-level energies and forces efficiently, yet their integration into established molecular...
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Luka Pavesic (University of Padova)01/10/2026, 16:30Invited talk
Metastable states appear across many areas of physics, from condensed matter to cosmology. Their relaxation is described by the semi-classical 'critical bubble theory', developed more than 50 years ago. Despite its broad applicability, the quantum version of the theory has little experimental support, and understanding the relaxation of metastable states in quantum many-body systems remains a...
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Antonio Evangelista01/10/2026, 17:00Invited talk
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André Freitas (University of Rome "Tor Vergata" & Institut Polytechnique de Paris)01/10/2026, 17:30ESR talk
Buoyancy-driven turbulence arises across a wide range of natural and technological systems, from inertial confinement fusion to stellar explosions. Direct numerical simulation of all dynamically active scales is often prohibitively expensive, motivating large-eddy simulation and the development of accurate subgrid closures. We extend recent work on a solver-in-the-loop framework in which the...
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01/10/2026, 18:00
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01/10/2026, 18:20
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Jacob Schroder (University of New Mexico)02/10/2026, 09:30Invited talk
Algebraic multigrid (AMG) is a popular and effective solver for sparse linear systems arising from discretized partial differential equations (PDEs). The optimality and efficiency of AMG rests on the complementary relationship between relaxation (e.g., Gauss-Seidel) and interpolation, which when effective, results in optimal O($n$) scaling in the number of degrees-of-freedom $n$. Relaxation...
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Paolo Carloni (Forschungszentrum Jülich GmbH)02/10/2026, 10:15Invited talk
We will discuss some recent applications of our massively parallel QM/MM code MiMiC, developed within a consortium of european university. We will focus on transporters which exploit proton gradients across the membrane to transport organic molecules.
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We will close with a perspective of using data science approaches to develop potentials and calculate accurate free energies using QM/MM MD data. -
Enrique Rico Ortega (CERN)02/10/2026, 10:45Invited talk
Real-time, non-perturbative dynamics of gauge theories, from string formation and fragmentation to thermalization and jet production, lie largely beyond the reach of standard Euclidean Monte Carlo methods. Hamiltonian formulations of lattice gauge theories, combined with tools from quantum information science, offer a complementary route that provides direct access to time evolution, avoids...
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Marta Devodier02/10/2026, 12:00ESR talk
High-performance computing has turned atomistic Molecular Dynamics (MD) into a practical tool for resolving biomolecular processes with atomic resolution. For protein-ligand systems, these simulations expose the interactions governing binding and unbinding, a key issue in drug design. Drug efficacy, however, depends not only on binding affinity but also on residence time (RT), the kinetic...
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Shiting Long02/10/2026, 12:30ESR talk
As the slowdown of Dennard scaling has shifted performance gains toward exploiting parallelism on increasingly heterogeneous many-core architectures, task-based programming models have emerged as a promising approach for managing complex workloads. Despite their growing adoption, however, understanding how runtime behavior translates into application performance remains a significant...
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Jacob Schroder
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Sergio Hoyas
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Michele Parrinello
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Christian SchneiderESR talk
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Michele Buzzicotti
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Alessandro Gabbana
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Jacob Finkerath
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Chiara Calascibetta
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Paolo CarloniInvited talk
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Sauro Succi
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Ilaria Siloi (University of Padova)Invited talk
Tensor networks offer efficient representations of high-dimensional objects and are widely used in quantum many-body physics, optimization, and machine learning. This seminar explores how tensor-network techniques constructions can be applied to a range of combinatorial problems. First, it presents an implementation of Schnorr’s algorithm for RSA integer factorization, using tensor networks to...
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Jens Eisert
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Enrique Rico Ortega
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Luka Pavesic
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Song Xie
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