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20242026
most citedMachine-learned tuning of artificial Kitaev chains from tunneling-spectroscopy measurements

12 citations · 40 across the 15 of their papers we have counts for

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5 papers · 1 filter

cond-mat.mes-hall2024★ 2 cited

Automated in situ optimization and disorder mitigation in a quantum device

Jacob Benestad, Torbjørn Rasmussen, Bertram Brovang +9

We investigate automated in situ optimization of the potential landscape in a quantum point contact device, using a gate array patterned atop the constriction. Optimiz…

cond-mat.mes-hall2024★ 3 cited

Tunable diode effect in a superconducting tunnel junction with biharmonic drive

David Scheer, Rubén Seoane Souto, Fabian Hassler +1

A Josephson diode is a superconducting circuit element that enables non-reciprocal transport, allowing a dissipationless supercurrent to preferentially flow in a single direction.…

cond-mat.mes-hall2024★ 7 cited

Subgap transport in superconductor--semiconductor hybrid islands: Weak and strong coupling regimes

Marco Valentini, Rubén Seoane Souto, Maksim Borovkov +5

Superconductor--semiconductor hybrid systems play a crucial role in realizing nanoscale quantum devices, including hybrid qubits, Majorana bound states, and Kitaev chains. For such…

cond-mat.mes-hall2024★ 12 cited

Machine-learned tuning of artificial Kitaev chains from tunneling-spectroscopy measurements

Jacob Benestad, Athanasios Tsintzis, Rubén Seoane Souto +3

We demonstrate reliable machine-learned tuning of quantum-dot-based artificial Kitaev chains to Majorana sweet spots, using the covariance matrix adaptation algorithm. We show that…

cond-mat.mes-hall2024★ 9 cited

Physics-informed tracking of qubit fluctuations

Fabrizio Berritta, Jan A. Krzywda, Jacob Benestad +9

Environmental fluctuations degrade the performance of solid-state qubits but can in principle be mitigated by real-time Hamiltonian estimation down to time scales set by the estima…