Publications related to Symplectic manifold

From low-rank retractions to dynamical low-rank approximation and back

Daniel Kressner, Axel Elie Joseph Séguin, Gianluca Ceruti

In algorithms for solving optimization problems constrained to a smooth manifold, retractions are a well-established tool to ensure that the iterates stay on the manifold. More recently, it has been demonstrated that retractions are a useful concept for ot ...

Springer2024

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Jan Sickmann Hesthaven, Federico Pichi

The present work proposes a framework for nonlinear model order reduction based on a Graph Convolutional Autoencoder (GCA-ROM). In the reduced order modeling (ROM) context, one is interested in obtaining real -time and many-query evaluations of parametric ...

San Diego2024

Perturbed Utility Stochastic Traffic Assignment

This paper develops a fast algorithm for computing the equilibrium assignment with the perturbed utility route choice (PURC) model. Without compromise, this allows the significant advantages of the PURC model to be used in large-scale applications. We form ...

Informs2024

Biodegradable Implantable Microsystems

Jürgen Brugger, Jongeon Park

Biodegradable implanted devices and microsystems are candidates to fulfill the utmost required in-vivo assistance for a variety of envisioned bio-medical health care applications. They range from monitoring biomarkers, recording, and stimulation, to local ...

IEEE2023

Automated mixing of maximally localized Wannier functions into target manifolds

Nicola Marzari, Giovanni Pizzi, Junfeng Qiao

Maximally localized Wannier functions (MLWFs) are widely used in electronic-structure calculations. We have recently developed automated approaches to generate MLWFs that represent natural tight-binding sets of atomic-like orbitals; these describe accurate ...

Berlin2023

Retraction-based numerical methods for continuation, interpolation and time integration on manifolds

Axel Elie Joseph Séguin

The goal of this thesis is the development and the analysis of numerical methods for problems where the unknown is a curve on a smooth manifold. In particular, the thesis is structured around the three following problems: homotopy continuation, curve inter ...

EPFL2023

Continuous-variable neural network quantum states and the quantum rotor model

Giuseppe Carleo

We initiate the study of neural network quantum state algorithms for analyzing continuous-variable quantum systems in which the quantum degrees of freedom correspond to coordinates on a smooth manifold. A simple family of continuous-variable trial wavefunc ...

SPRINGERNATURE2023

Critical Schrodinger Cat Qubit

Vincenzo Savona, Fabrizio Minganti, Luca Gravina

Encoding quantum information onto bosonic systems is a promising route to quantum error correc-tion. In a cat code, this encoding relies on the confinement of the dynamics of the system onto the two-dimensional manifold spanned by Schrodinger cats of oppos ...

AMER PHYSICAL SOC2023

Multiplicative chaos of the Brownian loop soup

Antoine Pierre François Jego, Titus Lupu

We construct a measure on the thick points of a Brownian loop soup in a bounded domain D

D

of the plane with given intensity theta>0

\theta >0

, which is formally obtained by exponentiating the square root of its occupation field. The measure is construct ...

WILEY2023

High-order geometric integrators for the variational Gaussian approximation

Jiri Vanicek, Roya Moghaddasi Fereidani

Among the single-trajectory Gaussian-based methods for solving the time-dependent Schrödinger equation, the variational Gaussian approximation is the most accurate one. In contrast to Heller’s original thawed Gaussian approximation, it is symplectic, conse ...

2023

Symplectic manifold

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From low-rank retractions to dynamical low-rank approximation and back

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Perturbed Utility Stochastic Traffic Assignment

Biodegradable Implantable Microsystems

Automated mixing of maximally localized Wannier functions into target manifolds

Retraction-based numerical methods for continuation, interpolation and time integration on manifolds

Continuous-variable neural network quantum states and the quantum rotor model

Critical Schrodinger Cat Qubit

Multiplicative chaos of the Brownian loop soup

High-order geometric integrators for the variational Gaussian approximation

Retraction-based numerical methods for continuation, interpolation and time integration on manifolds

From low-rank retractions to dynamical low-rank approximation and back

Perturbed Utility Stochastic Traffic Assignment

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Automated mixing of maximally localized Wannier functions into target manifolds

Biodegradable Implantable Microsystems

Critical Schrodinger Cat Qubit

High-order geometric integrators for the variational Gaussian approximation

Multiplicative chaos of the Brownian loop soup

Continuous-variable neural network quantum states and the quantum rotor model