arXiv subjects

Takahiro Kikuchi

Publications and source records attributed to Takahiro Kikuchi.

3 recordsLinked to original sources

arXiv2026

Direct observation of photon-induced vortices in superconducting films

Nucleation of vortex-antivortex pairs (VAPs) is believed to play a central role in the photon detection mechanism of superconducting detectors; however, their direct dynamic observation has remained challenging. Here, we report the direct observation of photon-induced VAP dynamics in a current-carrying superconductor as quantized voltage signals following photon absorption. The observed signals are interpreted as discrete phase-slip events, where each vortex traversal induces a 2-pi phase change of the superconducting order parameter, resulting in a quantized voltage pulse whose time integral is given by the magnetic flux quantum. We analyze the resulting quantized signals as a function of bias current, base temperature, and input photon-number states, and find that the number of VAPs generated per absorbed photon becomes effectively stabilized under specific conditions. Under these conditions, we demonstrate photon-number-resolving capability by directly counting phase-slip-induced voltage quanta. Our results reveal a detection mechanism governed by phase dynamics rather than conventional resistive transitions. We further show that photon-number resolution emerges when the fluctuation of photon-induced vortex-antivortex pair generation becomes statistically suppressed. These findings establish a new route toward photon-number-resolving detection based on phase-slip counting and open opportunities for high-speed superconducting detectors for quantum optics and photonic quantum technologies.

cond-mat.supr-con↗

arXiv2025

Visualization of Organ Movements Using Automatic Region Segmentation of Swallowing CT

This study presents the first report on the development of an artificial intelligence (AI) for automatic region segmentation of four-dimensional computer tomography (4D-CT) images during swallowing. The material consists of 4D-CT images taken during swallowing. Additionally, data for verifying the practicality of the AI were obtained from 4D-CT images during mastication and swallowing. The ground truth data for the region segmentation for the AI were created from five 4D-CT datasets of swallowing. A 3D convolutional model of nnU-Net was used for the AI. The learning and evaluation method for the AI was leave-one-out cross-validation. The number of epochs for training the nnU-Net was 100. The Dice coefficient was used as a metric to assess the AI's region segmentation accuracy. Regions with a median Dice coefficient of 0.7 or higher included the bolus, bones, tongue, and soft palate. Regions with a Dice coefficient below 0.7 included the thyroid cartilage and epiglottis. Factors that reduced the Dice coefficient included metal artifacts caused by dental crowns in the bolus and the speed of movement for the thyroid cartilage and epiglottis. In practical verification of the AI, no significant misrecognition was observed for facial bones, jaw bones, or the tongue. However, regions such as the hyoid bone, thyroid cartilage, and epiglottis were not fully delineated during fast movement. It is expected that future research will improve the accuracy of the AI's region segmentation, though the risk of misrecognition will always exist. Therefore, the development of tools for efficiently correcting the AI's segmentation results is necessary. AI-based visualization is expected to contribute not only to the deepening of motion analysis of organs during swallowing but also to improving the accuracy of swallowing CT by clearly showing the current state of its precision.

eess.IV↗

arXiv2025

Current-readout technique for ultra-high-rate experiments

This study developed a new current-readout technique capable of handling measurements with high count rates reaching 1 Gcps. By directly capturing the output current of a photomultiplier as a digitized waveform, we estimated event rates, overcoming the limitations imposed by pulse pileup constraints and deadtimes. This innovative method was applied to a muon spin rotation/relaxation/resonance experiment at the Japan Proton Accelerator Research Complex, demonstrating its anticipated performance. Furthermore, we explored methods for estimating statistical uncertainty and investigated potential applications in analog-logic OR/AND gates. Overall, our findings reveal that the developed technique opens up avenues for the development of future non-binary logic circuits operating based on n-adic numbers.

physics.ins-det↗