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High-speed low-crosstalk detection of a 171 Yb + qubit using superconducting nanowire single photon detectors

机译:使用超导纳米线单光子探测器的高速低串扰检测171 YB + QUBBit

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Qubits used in quantum computing suffer from errors, either from the qubit interacting with the environment, or from imperfect quantum logic gates. Effective quantum error correcting codes require a high fidelity readout of ancilla qubits from which the error syndrome can be determined without affecting data qubits. Here, we present a detection scheme for 171Yb+ qubits, where we use superconducting nanowire single photon detectors and utilize photon time-of-arrival statistics to improve the fidelity and speed. Qubit shuttling allows for creating a separate detection region where an ancilla qubit can be measured without disrupting a data qubit. We achieve an average qubit state detection time of 11 μs with a fidelity of 99.931(6). The detection crosstalk error, defined as the probability that the data qubit coherence is lost due to the process of detecting an ancilla qubit, is reduced to ~2 × 105 by creating a separation of 370 μm between them. Trapped ions have gained momentum as a platform for quantum computing thanks to the ability of storing qubits in stable electron states of each ions and transfer of information among the ion qubits in the trap. The authors present an experimental scheme to detect trapped 171-ytterbium ion qubits using photon statistics and superconducting nanowire single photon detectors and report a qubit detection fidelity of 99.93% within 11 microseconds.
机译:在量子计算中使用的Qubits遭受错误,无论是与环境相互作用的量词,还是从不完美的量子逻辑门。有效的量子误差校正代码需要高保真读出的ancilla Qubits,可以在不影响数据QUBITS的情况下确定错误校正仪。这里,我们介绍了171yB + QUBits的检测方案,在那里我们使用超导纳米线单光子探测器并利用光子到达时间统计来提高保真度和速度。 QUBit Shuttling允许创建单独的检测区域,其中可以在不中断数据Qubit的情况下测量辅助QUBit。我们在99.931(6)的保真度为11μs的平均Qubit状态检测时间。检测串扰误差定义为数据Qubit相干性由于检测到ancilla qubit的过程而丢失的概率,通过在它们之间产生370μm的分离来减小到〜2×105。由于在每个离子的稳定电子状态下存储Qubits的能力和陷阱中的离子Qubits之间的信息传递,因此被捕获的离子作为量子计算的平台。作者介绍了一种使用光子统计和超导纳米线单光子探测器检测被捕获的171-ytterbium离子Qubits的实验方案,并在11微秒内报告Qubit检测保真度为99.93%。

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