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Automated tuning of double quantum dots into specific charge states using neural networks
We introduce an algorithm driven by machine learning that uses a small number of coarse-grained measurements as its input and tunes the quantum dot system into a pre-selected charge state. Expand
Virtual-photon-mediated spin-qubit–transmon coupling
Spin qubits and superconducting qubits are among the promising candidates for realizing a solid state quantum computer. For the implementation of a hybrid architecture which can profit from the… Expand
Coherent long-distance spin-qubit-transmon coupling
Spin qubits and superconducting qubits are among the promising candidates for a solid state quantum computer. For the implementation of a hybrid architecture which can profit from the advantages of… Expand
Data repository: Observation of quantum Hall interferometer phase jumps due to a change in the number of bulk quasiparticles
Strong photon coupling to the quadrupole moment of an electron in a solid-state qubit
The fundamental concept of light–matter interaction is routinely realized by coupling the quantized electric field in a cavity to the dipole moment of a real or an artificial atom. A recent proposal… Expand
Fully automated identification of 2D material samples.
Thin nanomaterials are key constituents of modern quantum technologies and materials research. Identifying specimens of these materials with properties required for the development of state of the… Expand
Observation of quantum Hall interferometer phase jumps due to changing quasiparticle number.
We measure the magneto-conductance through a micron-sized quantum dot hosting about 500 electrons in the quantum Hall regime. In the Coulomb blockade, when the island is weakly coupled to source and… Expand
Realization of a $CQ_3$ Qubit: energy spectroscopy and coherence.
The energy landscape of a single electron in a triple quantum dot can be tuned such that the energy separation between ground and excited states becomes a flat function of the relevant gate voltages.… Expand
Fully Automated Identification of Two-Dimensional Material Samples
We provide a neural-network-driven solution that allows for accurate and efficient scanning, data processing, and sample identification of experimentally relevant two-dimensional materials with state-of-the-art properties. Expand
Strong photon coupling to the quadrupole moment of an electron in solid state
The implementation of circuit quantum electrodynamics allows coupling distant qubits by microwave photons hosted in on-chip superconducting resonators. Typically, the qubit-photon interaction is… Expand