论文标题
Femto-Tesla DC鱿鱼设计用于量子就绪读数
A femto-Tesla DC SQUID design for quantum-ready readouts
论文作者
论文摘要
在直流超导量子干扰设备（鱿鱼）的当前用途中，有一些量子和传感器用于探测量子材料的性质。我们提出了一个相当独特的渐变niobium鱿鱼设计，在FEMTO-TESLA范围内具有最先进的灵敏度，可以轻松地调整为特定的读数要求。传感器是具有紧密优化的输入线圈的下一代鱿鱼，以及所有用于限制寄生共振和其他有害效应的措施的组合。我们的设计结合了定义明确的拾音器循环的实际实用性，用于出色的成像内核和可调式化应用程序，并使用分数化方法来降低不希望的电感。此外，我们的建模可预测这些平面传感器的小维度。这些功能使它们与物质研究和检测小体积的磁场具有很高的相关性，例如作为高效诊断和量子设备读数的低温扫描量子成像设备的一部分。该手稿将通过阐明有关DC Squid优化的潜在误解以及引入新型柔性紧凑的DC Squid设计，从而使从事量子计算技术的科学家和工程师受益。
Among some of the current uses of the DC Superconducting QUantum Interference Devices (SQUIDs) are qubit-readouts and sensors for probing properties of quantum materials. We present a rather unique gradiometric niobium SQUID design with state-of-the-art sensitivity in the femto-Tesla range which can be easily tuned to specific readout requirements. The sensor is a next generation of the fractional SQUIDs with tightly optimized input coil and a combination of all measures known for restraining parasitic resonances and other detrimental effects. Our design combines the practical usefulness of well-defined pickup loops for superior imaging kernel and tunable-probing applications with the fractionalization approach to reduce undesired inductances. In addition, our modeling predicts small dimensions for these planar sensors. These features make them of high relevance for material studies and for detection of magnetic fields in small volumes, e.g. as part of a cryogenic scanning quantum imaging apparatus for efficient diagnostics and quantum device readouts. This manuscript will benefit scientists and engineers working on quantum computing technologies by clarifying potential general misconceptions about DC SQUID optimization alongside the introduction of the novel flexible compact DC SQUID design.
