Measurement-induced state transitions in dispersive qubit-readout schemes

IF 4.4 2区 物理与天体物理 Q2 PHYSICS, APPLIED
Konstantin Nesterov, Ivan Pechenezhskiy
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引用次数: 9

Abstract

The dispersive-readout scheme enables quantum nondemolition measurement of superconducting qubits. An increased readout power can shorten the readout time and reduce the state-discrimination error but can promote qubit transitions into higher noncomputational states. The ability to predict the onset of these measurement-induced state transitions can aid the optimization of qubit circuits and provide means for comparing the readout performance of different qubit types. Building upon the concept of dressed coherent states, we consider two straightforward metrics for determining the maximum number of photons that can be used for dispersive readout without causing state transitions. We focus on the fluxonium readout to demonstrate the independence of the metrics from any qubit-type-specific approximations. The dispersive readout of transmons and other superconducting qubits can be treated universally in the same fashion.
色散量子位读出方案中测量诱导的状态跃迁
色散读出方案使超导量子比特的量子非拆除测量成为可能。提高读出功率可以缩短读出时间,减少状态识别误差,但也会促进量子比特向更高的非计算态过渡。预测这些由测量引起的状态转换开始的能力可以帮助优化量子比特电路,并为比较不同量子比特类型的读出性能提供手段。基于盛装相干态的概念,我们考虑了两个直接的度量来确定可以用于色散读出而不引起状态转换的最大光子数。我们将重点放在fluxonium读数上,以证明度量与任何量子位类型特定近似的独立性。传输子和其他超导量子比特的色散读出可以用同样的方式普遍处理。
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来源期刊
Physical Review Applied
Physical Review Applied PHYSICS, APPLIED-
CiteScore
7.80
自引率
8.70%
发文量
760
审稿时长
2.5 months
期刊介绍: Physical Review Applied (PRApplied) publishes high-quality papers that bridge the gap between engineering and physics, and between current and future technologies. PRApplied welcomes papers from both the engineering and physics communities, in academia and industry. PRApplied focuses on topics including: Biophysics, bioelectronics, and biomedical engineering, Device physics, Electronics, Technology to harvest, store, and transmit energy, focusing on renewable energy technologies, Geophysics and space science, Industrial physics, Magnetism and spintronics, Metamaterials, Microfluidics, Nonlinear dynamics and pattern formation in natural or manufactured systems, Nanoscience and nanotechnology, Optics, optoelectronics, photonics, and photonic devices, Quantum information processing, both algorithms and hardware, Soft matter physics, including granular and complex fluids and active matter.
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