Jean-Claude Besse


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Last Name

Besse

First Name

Jean-Claude

Organisational unit

03720 - Wallraff, Andreas / Wallraff, Andreas

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Publications 1 - 10 of 30
  • Collodo, Michele C.; Herrmann, Johannes; Lacroix, Nathan; et al. (2020)
    Physical Review Letters
    High fidelity two-qubit gates exhibiting low cross talk are essential building blocks for gate-based quantum information processing. In superconducting circuits, two-qubit gates are typically based either on rf-controlled interactions or on the in situ tunability of qubit frequencies. Here, we present an alternative approach using a tunable cross-Kerr-type ZZ interaction between two qubits, which we realize with a flux-tunable coupler element. We control the ZZ-coupling rate over 3 orders of magnitude to perform a rapid (38 ns), high-contrast, low leakage (0.14±0.24%) conditional phase CZ gate with a fidelity of 97.9±0.7% as measured in interleaved randomized benchmarking without relying on the resonant interaction with a noncomputational state. Furthermore, by exploiting the direct nature of the ZZ coupling, we easily access the entire conditional phase gate family by adjusting only a single control parameter. © 2020 American Physical Society
  • Heinsoo, Johannes; Andersen, Christian Kraglund; Remm, Ants; et al. (2018)
    Physical Review Applied
  • Krinner, Sebastian; Kurpiers, Philipp; Royer, Baptiste; et al. (2020)
    arXiv
  • Reuer, Kevin; Landgraf, Jonas; Fösel, Thomas; et al. (2023)
    Nature Communications
    Realizing the full potential of quantum technologies requires precise real-time control on time scales much shorter than the coherence time. Model-free reinforcement learning promises to discover efficient feedback strategies from scratch without relying on a description of the quantum system. However, developing and training a reinforcement learning agent able to operate in real-time using feedback has been an open challenge. Here, we have implemented such an agent for a single qubit as a sub-microsecond-latency neural network on a field-programmable gate array (FPGA). We demonstrate its use to efficiently initialize a superconducting qubit and train the agent based solely on measurements. Our work is a first step towards adoption of reinforcement learning for the control of quantum devices and more generally any physical device requiring low-latency feedback.
  • Collodo, Michele C.; Potočnik, Anton; Gasparinetti, Simone; et al. (2019)
    Physical Review Letters
  • Kurpiers, Philipp; Magnard, Paul; Walter, Theo; et al. (2018)
    Nature
  • Besse, Jean-Claude; Reuer, Kevin; Collodo, Michele C.; et al. (2020)
    Nature Communications
    Sources of entangled electromagnetic radiation are a cornerstone in quantum information processing and offer unique opportunities for the study of quantum many-body physics in a controlled experimental setting. Generation of multi-mode entangled states of radiation with a large entanglement length, that is neither probabilistic nor restricted to generate specific types of states, remains challenging. Here, we demonstrate the fully deterministic generation of purely photonic entangled states such as the cluster, GHZ, and W state by sequentially emitting microwave photons from a controlled auxiliary system into a waveguide. We tomographically reconstruct the entire quantum many-body state for up to N = 4 photonic modes and infer the quantum state for even larger N from process tomography. We estimate that localizable entanglement persists over a distance of approximately ten photonic qubits.
  • Pechal, M.; Besse, Jean-Claude; Mondal, M.; et al. (2016)
    Physical Review Applied
  • Gasparinetti, Simone; Besse, Jean-Claude; Pechal, Marek; et al. (2019)
    Physical Review A
  • Gasparinetti, Simone; Pechal, Marek; Besse, Jean-Claude; et al. (2017)
    Physical Review Letters
Publications 1 - 10 of 30