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Aligning Superconducting Transition-Edge Sensors by Reflected Wave Intensity Measurement
Pei-Sa Ma1, Hong-Fan Zhang1, Xingxiang Zhou1
1Department of Optics and Optical Engineering, CAS Key Laboratory of Quantum Information, and Synergetic Innovation Center of Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei 230026, China.
Accurately aligning quantum photon detectors like superconducting transition-edge sensors (TES) is crucial. A new, low-cost method uses reflected light intensity to precisely align optical fibers with TES devices, enhancing detection efficiency.
Area of Science:
- Quantum optics
- Nanofabrication
- Photon detection
Background:
- Accurate alignment of quantum photon detectors, such as superconducting transition-edge sensors (TES), to optical fibers is essential for optimizing detection efficiency.
- Conventional alignment methods often rely on expensive and complex equipment like infrared imaging or microfabrication techniques.
Purpose of the Study:
- To introduce a novel, cost-effective, and simpler alignment technique for optical fibers and quantum photon detectors.
- To enable precise alignment by measuring reflected wave intensity, facilitating improved detection efficiency.
Main Methods:
- A light wave is routed through an optical fiber for normal incidence onto the sensor chip.
- Reflected wave intensity is measured using a circulator to separate it from the input signal.
- Alignment is achieved by observing intensity variations as the fiber's beam spot crosses sensor/substrate boundaries.
Main Results:
- The method quantitatively determines alignment precision and identifies conditions to prevent photon loss due to beam divergence.
- Experimental verification confirms the working principle and alignment accuracy.
- The technique was successfully applied to a TES device for efficient coupling in photon-number-resolving measurements.
Conclusions:
- This novel alignment method, based on reflected wave intensity measurement, offers a significantly less demanding, lower-cost, and easier-to-implement alternative to conventional techniques.
- The method is broadly applicable, not restricted by sensor detection mechanisms, and accessible to a wider research community.
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