activity
20172020
most citedA Tensor Network Approach to Finite Markov Decision Processes

2 citations · 2 across the 1 of their papers we have counts for

collaborators

5 papers

cond-mat.stat-mech20202 cited

A Tensor Network Approach to Finite Markov Decision Processes

Edward Gillman, Dominic C. Rose, Juan P. Garrahan

Tensor network (TN) techniques - often used in the context of quantum many-body physics - have shown promise as a tool for tackling machine learning (ML) problems. The application…

quant-ph2020

Non-equilibrium phase transitions in -dimensional quantum cellular automata with controllable quantum correlations

Edward Gillman, Federico Carollo, Igor Lesanovsky

Motivated by recent progress in the experimental development of quantum simulators based on Rydberg atoms, we introduce and investigate the dynamics of a class of -dimension…

quant-ph2019

Numerical Simulation of Critical Dissipative Non-Equilibrium Quantum Systems with an Absorbing State

Edward Gillman, Federico Carollo, Igor Lesanovsky

The simulation of out-of-equilibrium dissipative quantum many body systems is a problem of fundamental interest to a number of fields in physics, ranging from condensed matter to c…

cond-mat.stat-mech2019

Quantum contact process

Federico Carollo, Edward Gillman, Hendrik Weimer +1

The contact process is a paradigmatic classical stochastic system displaying critical behavior even in one dimension. It features a non-equilibrium phase transition into an absorbi…

quant-ph2017

Topological Defects in Quantum Field Theory with Matrix Product States

Edward Gillman, Arttu Rajantie

Topological defects (kinks) in a relativistic scalar field theory in are studied using the matrix product state tensor network. The one kink state is approximated…