140 citations · 430 across the 12 of their papers we have counts for
12 papers
Scalable Meta-Learning with Gaussian Processes
Petru Tighineanu, Lukas Grossberger, Paul Baireuther +4
Meta-learning is a powerful approach that exploits historical data to quickly solve new tasks from the same distribution. In the low-data regime, methods based on the closed-form p…
Identifying Chern numbers of superconductors from local measurements
Paul Baireuther, Marcin Płodzień, Teemu Ojanen +2
Fascination in topological materials originates from their remarkable response properties and exotic quasiparticles which can be utilized in quantum technologies. In particular, la…
Transfer Learning with Gaussian Processes for Bayesian Optimization
Petru Tighineanu, Kathrin Skubch, Paul Baireuther +3
Bayesian optimization is a powerful paradigm to optimize black-box functions based on scarce and noisy data. Its data efficiency can be further improved by transfer learning from r…
Machine learning assisted measurement of local topological invariants
Marcello D. Caio, Marco Caccin, Paul Baireuther +2
The continuous effort towards topological quantum devices calls for an efficient and non-invasive method to assess the conformity of components in different topological phases. Her…
Deterministic creation and braiding of chiral edge vortices
C. W. J. Beenakker, P. Baireuther, Y. Herasymenko +3
Majorana zero-modes in a superconductor are midgap states localized in the core of a vortex or bound to the end of a nanowire. They are anyons with non-Abelian braiding statistics,…
Neural network decoder for topological color codes with circuit level noise
P. Baireuther, M. D. Caio, B. Criger +2
A quantum computer needs the assistance of a classical algorithm to detect and identify errors that affect encoded quantum information. At this interface of classical and quantum c…
Machine-learning-assisted correction of correlated qubit errors in a topological code
P. Baireuther, T. E. O'Brien, B. Tarasinski +1
A fault-tolerant quantum computation requires an efficient means to detect and correct errors that accumulate in encoded quantum information. In the context of machine learning, ne…
Chirality blockade of Andreev reflection in a magnetic Weyl semimetal
N. Bovenzi, M. Breitkreiz, P. Baireuther +4
A Weyl semimetal with broken time-reversal symmetry has a minimum of two species of Weyl fermions, distinguished by their opposite chirality, in a pair of Weyl cones at opposite mo…
Weyl-Majorana solenoid
P. Baireuther, J. Tworzydło, M. Breitkreiz +2
A Weyl semimetal wire with an axial magnetization has metallic surface states (Fermi arcs) winding along its perimeter, connecting bulk Weyl cones of opposite topological charge (B…
Scattering theory of the chiral magnetic effect in a Weyl semimetal: Interplay of bulk Weyl cones and surface Fermi arcs
P. Baireuther, J. A. Hutasoit, J. Tworzydło +1
We formulate a linear response theory of the chiral magnetic effect in a finite Weyl semimetal, expressing the electrical current density induced by a slowly oscillating magnet…
Andreev-Bragg reflection from an Amperian superconductor
P. Baireuther, T. Hyart, B. Tarasinski +1
We show how an electrical measurement can detect the pairing of electrons on the same side of the Fermi surface (Amperian pairing), recently proposed by Patrick Lee for the pseudog…
Manipulation of a two-photon pump in superconductor - semiconductor heterostructures
Paul Baireuther, Peter P. Orth, Ilya Vekhter +1
We investigate the photon statistics, entanglement and squeezing of a pn-junction sandwiched between two superconducting leads, and show that such an electrically-driven photon pum…