5 papers
Efficient bit encoding of neural networks for Fock states
Oliver Kästle, Alexander Carmele
We present a bit encoding scheme for a highly efficient and scalable representation of bosonic Fock number states in the restricted Boltzmann machine neural network architecture. I…
Sampling asymmetric open quantum systems for artificial neural networks
Oliver Kästle, Alexander Carmele
While established neural network approaches based on restricted Boltzmann machine architectures and Metropolis sampling methods are well suited for symmetric open quantum systems,…
Continuous and time-discrete non-Markovian system-reservoir interactions: Dissipative coherent quantum feedback in Liouville space
Oliver Kästle, Regina Finsterhoelzl, Andreas Knorr +1
Based on tensor network realizations of path integrals reducing exponential memory scaling to polynomial efficiency and a Liouville space implementation of a time-discrete quantum…
Unidirectional Quantum Transport in Optically Driven -type Quantum Dot Chains
Oliver Kaestle, Emil Vosmar Denning, Jesper Mørk +2
We predict a mechanism for achieving complete population inversion in a continuously driven InAs/GaAs semiconductor quantum dot featuring -type transitions. This highly nonequil…
Memory-Critical Dynamical Buildup of Phonon-Dressed Majorana Fermions
Oliver Kästle, Ying Hu, Alexander Carmele
We investigate the dynamical interplay between topological state of matter and a non-Markovian dissipation, which gives rise to a new and crucial time scale into the system dynamic…