collaborators

5 papers

quant-ph2020

Efficient Tensor Network ansatz for high-dimensional quantum many-body problems

Timo Felser, Simone Notarnicola, Simone Montangero

We introduce a novel tensor network structure augmenting the well-established Tree Tensor Network representation of a quantum many-body wave function. The new structure satisfies t…

hep-lat2020

Lattice Quantum Electrodynamics in (3+1)-dimensions at finite density with Tensor Networks

Giuseppe Magnifico, Timo Felser, Pietro Silvi +1

Gauge theories are of paramount importance in our understanding of fundamental constituents of matter and their interactions. However, the complete characterization of their phase…

physics.med-ph2020

Optimizing Radiotherapy Plans for Cancer Treatment with Tensor Networks

Samuele Cavinato, Timo Felser, Marco Fusella +2

We present a novel application of Tensor Network methods in cancer treatment as a potential tool to solve the dose optimization problem in radiotherapy. In particular, the Intensit…

quant-ph2019

Two-dimensional quantum-link lattice Quantum Electrodynamics at finite density

Timo Felser, Pietro Silvi, Mario Collura +1

We present an unconstrained tree tensor network approach to the study of lattice gauge theories in two spatial dimensions showing how to perform numerical simulations of theories i…

quant-ph2019

On the descriptive power of Neural-Networks as constrained Tensor Networks with exponentially large bond dimension

Mario Collura, Luca Dell'Anna, Timo Felser +1

In many cases, Neural networks can be mapped into tensor networks with an exponentially large bond dimension. Here, we compare different sub-classes of neural network states, with…