47 research outputs found

    Zwischen Anspruch und Realität: Evidenzbasierte Qualitätsentwicklung durch Integration von Qualitätsmanagement und Hochschuldidaktik

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    Eine evidenzbasierte Gestaltung von Studium und Lehre, wie sie heute normativ eingefordert wird, bedarf des integrierten Zusammenwirkens von Qualitätsmanagement und Hochschuldidaktik – aber gibt es dieses in der Praxis? Mit Blick auf die allgemeine Befundlage, aber auch anhand einer eigenen empirischen Untersuchung zeigt der Beitrag diesbezüglich auf, dass Qualitätsmanagement und Hochschuldidaktik als weitgehend desintegrierte Funktionsbereiche wahrgenommen werden und Evidenzbasierung in der Praxis folglich keinen sehr hohen Stellenwert genießt. Ausgehend von einer Ursachenanalyse wird auf die dysfunktionalen, aber auch auf die funktionalen Auswirkungen dieser Separierung aufmerksam gemacht

    Qualitätsmanagement als Treiber einer evidenzbasierten Qualitätsentwicklung von Studium und Lehre?

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    Evidenzbasierte Qualitätsentwicklung von Studium und Lehre bedarf des Engagements von Hochschulleitungen und der Reflexionsbereitschaft von Lehrenden, aber vor allem auch der Unterstützung durch das hochschulische Qualitätsmanagement (QM). Ausgehend von einem Verständnis von QM als intermediärer Instanz zwischen Hochschuldidaktik und Lehrpraxis widmet sich der Beitrag daher der Frage, inwiefern QM auf diese Aufgabe vorbereitet ist. Anhand einer qualitativen und einer quantitativen Befragung von QM-Beschäftigten deutscher Hochschulen wird ein diesbezüglich eher skeptisches Bild gezeichnet. Statt einer Wissenschaftsorientierung scheinen vielmehr pragmatische Kalküle und damit einhergehende Zweckkonflikte die QM-Praxis zu dominieren

    Decoherence in Josephson Qubits from Dielectric Loss

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    Dielectric loss from two-level states is shown to be a dominant decoherence source in superconducting quantum bits. Depending on the qubit design, dielectric loss from insulating materials or the tunnel junction can lead to short coherence times. We show that a variety of microwave and qubit measurements are well modeled by loss from resonant absorption of two-level defects. Our results demonstrate that this loss can be significantly reduced by using better dielectrics and fabricating junctions of small area ≲10μm2\lesssim 10 \mu \textrm{m}^2. With a redesigned phase qubit employing low-loss dielectrics, the energy relaxation rate has been improved by a factor of 20, opening up the possibility of multi-qubit gates and algorithms.Comment: shortened version submitted to PR

    The White Mountain Polarimeter Telescope and an Upper Limit on CMB Polarization

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    The White Mountain Polarimeter (WMPol) is a dedicated ground-based microwave telescope and receiver system for observing polarization of the Cosmic Microwave Background. WMPol is located at an altitude of 3880 meters on a plateau in the White Mountains of Eastern California, USA, at the Barcroft Facility of the University of California White Mountain Research Station. Presented here is a description of the instrument and the data collected during April through October 2004. We set an upper limit on EE-mode polarization of 14 μK\mu\mathrm{K} (95% confidence limit) in the multipole range 170<ℓ<240170<\ell<240. This result was obtained with 422 hours of observations of a 3 deg2\mathrm{deg}^2 sky area about the North Celestial Pole, using a 42 GHz polarimeter. This upper limit is consistent with EEEE polarization predicted from a standard Λ\Lambda-CDM concordance model.Comment: 35 pages. 12 figures. To appear in ApJ

    Quantum bits with Josephson junctions

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    Already in the first edition of this book (Barone and Paterno, "Fundamentals and Physics and Applications of the Josephson Effect", Wiley 1982), a great number of interesting and important applications for Josephson junctions were discussed. In the decades that have passed since then, several new applications have emerged. This chapter treats one such new class of applications: quantum optics and quantum information processing (QIP) based on superconducting circuits with Josephson junctions. In this chapter, we aim to explain the basics of superconducting quantum circuits with Josephson junctions and demonstrate how these systems open up new prospects, both for QIP and for the study of quantum optics and atomic physics.Comment: 30 pages, 10 figures. Book chapter for a new edition of Barone and Paterno's "Fundamentals and Physics and Applications of the Josephson Effect". Final versio

    Readout of a quantum processor with high dynamic range Josephson parametric amplifiers

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    We demonstrate a high dynamic range Josephson parametric amplifier (JPA) in which the active nonlinear element is implemented using an array of rf-SQUIDs. The device is matched to the 50 Ω\Omega environment with a Klopfenstein-taper impedance transformer and achieves a bandwidth of 250-300 MHz, with input saturation powers up to -95 dBm at 20 dB gain. A 54-qubit Sycamore processor was used to benchmark these devices, providing a calibration for readout power, an estimate of amplifier added noise, and a platform for comparison against standard impedance matched parametric amplifiers with a single dc-SQUID. We find that the high power rf-SQUID array design has no adverse effect on system noise, readout fidelity, or qubit dephasing, and we estimate an upper bound on amplifier added noise at 1.6 times the quantum limit. Lastly, amplifiers with this design show no degradation in readout fidelity due to gain compression, which can occur in multi-tone multiplexed readout with traditional JPAs.Comment: 9 pages, 8 figure

    Measurement-Induced State Transitions in a Superconducting Qubit: Within the Rotating Wave Approximation

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    Superconducting qubits typically use a dispersive readout scheme, where a resonator is coupled to a qubit such that its frequency is qubit-state dependent. Measurement is performed by driving the resonator, where the transmitted resonator field yields information about the resonator frequency and thus the qubit state. Ideally, we could use arbitrarily strong resonator drives to achieve a target signal-to-noise ratio in the shortest possible time. However, experiments have shown that when the average resonator photon number exceeds a certain threshold, the qubit is excited out of its computational subspace, which we refer to as a measurement-induced state transition. These transitions degrade readout fidelity, and constitute leakage which precludes further operation of the qubit in, for example, error correction. Here we study these transitions using a transmon qubit by experimentally measuring their dependence on qubit frequency, average photon number, and qubit state, in the regime where the resonator frequency is lower than the qubit frequency. We observe signatures of resonant transitions between levels in the coupled qubit-resonator system that exhibit noisy behavior when measured repeatedly in time. We provide a semi-classical model of these transitions based on the rotating wave approximation and use it to predict the onset of state transitions in our experiments. Our results suggest the transmon is excited to levels near the top of its cosine potential following a state transition, where the charge dispersion of higher transmon levels explains the observed noisy behavior of state transitions. Moreover, occupation in these higher energy levels poses a major challenge for fast qubit reset

    Overcoming leakage in scalable quantum error correction

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    Leakage of quantum information out of computational states into higher energy states represents a major challenge in the pursuit of quantum error correction (QEC). In a QEC circuit, leakage builds over time and spreads through multi-qubit interactions. This leads to correlated errors that degrade the exponential suppression of logical error with scale, challenging the feasibility of QEC as a path towards fault-tolerant quantum computation. Here, we demonstrate the execution of a distance-3 surface code and distance-21 bit-flip code on a Sycamore quantum processor where leakage is removed from all qubits in each cycle. This shortens the lifetime of leakage and curtails its ability to spread and induce correlated errors. We report a ten-fold reduction in steady-state leakage population on the data qubits encoding the logical state and an average leakage population of less than 1×10−31 \times 10^{-3} throughout the entire device. The leakage removal process itself efficiently returns leakage population back to the computational basis, and adding it to a code circuit prevents leakage from inducing correlated error across cycles, restoring a fundamental assumption of QEC. With this demonstration that leakage can be contained, we resolve a key challenge for practical QEC at scale.Comment: Main text: 7 pages, 5 figure

    Suppressing quantum errors by scaling a surface code logical qubit

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    Practical quantum computing will require error rates that are well below what is achievable with physical qubits. Quantum error correction offers a path to algorithmically-relevant error rates by encoding logical qubits within many physical qubits, where increasing the number of physical qubits enhances protection against physical errors. However, introducing more qubits also increases the number of error sources, so the density of errors must be sufficiently low in order for logical performance to improve with increasing code size. Here, we report the measurement of logical qubit performance scaling across multiple code sizes, and demonstrate that our system of superconducting qubits has sufficient performance to overcome the additional errors from increasing qubit number. We find our distance-5 surface code logical qubit modestly outperforms an ensemble of distance-3 logical qubits on average, both in terms of logical error probability over 25 cycles and logical error per cycle (2.914%±0.016%2.914\%\pm 0.016\% compared to 3.028%±0.023%3.028\%\pm 0.023\%). To investigate damaging, low-probability error sources, we run a distance-25 repetition code and observe a 1.7×10−61.7\times10^{-6} logical error per round floor set by a single high-energy event (1.6×10−71.6\times10^{-7} when excluding this event). We are able to accurately model our experiment, and from this model we can extract error budgets that highlight the biggest challenges for future systems. These results mark the first experimental demonstration where quantum error correction begins to improve performance with increasing qubit number, illuminating the path to reaching the logical error rates required for computation.Comment: Main text: 6 pages, 4 figures. v2: Update author list, references, Fig. S12, Table I
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