Lucas Kohn
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View article: Kondo nanomechanical dissipation in the driven Anderson impurity model
Kondo nanomechanical dissipation in the driven Anderson impurity model Open
The cyclic sudden switching of a magnetic impurity from Kondo to a non-Kondo state and back was recently shown to involve an important dissipation of the order of several $k_BT_K$ per cycle. The possibility to reveal this and other electro…
View article: Efficient mapping for Anderson impurity problems with matrix product states
Efficient mapping for Anderson impurity problems with matrix product states Open
We propose an efficient algorithm to numerically solve Anderson impurity\nproblems using matrix product states. By introducing a modified chain mapping\nwe obtain significantly lower entanglement, as compared to all previous\nattempts, whi…
View article: Quenching the Anderson impurity model at finite temperature: Entanglement and bath dynamics using matrix product states
Quenching the Anderson impurity model at finite temperature: Entanglement and bath dynamics using matrix product states Open
We study the dynamics of the quenched Anderson model at finite temperature using matrix product states. Exploiting a chain mapping for the electron bath, we investigate the entanglement structure in the MPS for various orderings of the two…
View article: Superfluid-to-Mott transition in a Bose-Hubbard ring: Persistent currents and defect formation
Superfluid-to-Mott transition in a Bose-Hubbard ring: Persistent currents and defect formation Open
We revisit here the Kibble-Zurek mechanism for superfluid bosons slowly driven across the transition towards the Mott-insulating phase. By means of a combination of the Time-Dependent Variational Principle and a Tree-Tensor Network, we cha…
View article: Probabilistic low-rank factorization accelerates tensor network simulations of critical quantum many-body ground states
Probabilistic low-rank factorization accelerates tensor network simulations of critical quantum many-body ground states Open
We provide evidence that randomized low-rank factorization is a powerful tool for the determination of the ground-state properties of low-dimensional lattice Hamiltonians through tensor network techniques. In particular, we show that rando…