most citedA Tensor Network Approach to Finite Markov Decision Processes

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

collaborators

5 papers

cond-mat.stat-mech2020

Hierarchical classical metastability in an open quantum East model

Dominic C. Rose, Katarzyna Macieszczak, Igor Lesanovsky +1

We study in detail an open quantum generalisation of a classical kinetically constrained model -- the East model -- known to exhibit slow glassy dynamics stemming from a complex hi…

quant-ph2020

Quantum jump Monte Carlo simplified: Abelian symmetries

Katarzyna Macieszczak, Dominic C. Rose

We consider Markovian dynamics of a finitely dimensional open quantum system featuring a weak unitary symmetry, i.e., when the action of a unitary symmetry on the space of density…

cond-mat.stat-mech2020

A reinforcement learning approach to rare trajectory sampling

Dominic C. Rose, Jamie F. Mair, Juan P. Garrahan

Very often when studying non-equilibrium systems one is interested in analysing dynamical behaviour that occurs with very low probability, so called rare events. In practice, since…

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…

cond-mat.stat-mech2018

Spectral properties of simple classical and quantum reset processes

Dominic C. Rose, Hugo Touchette, Igor Lesanovsky +1

We study the spectral properties of classical and quantum Markovian processes that are reset at random times to a specific configuration or state with a reset rate that is independ…