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1. SiPM cross-talk in liquid argon detectors

   https://doi.org/10.3389/fphy.2023.1181400  

   Boulay, M. G.; Camillo, V.; Canci, N.; Choudhary, S.; Consiglio, L.; Flammini, A.; Galbiati, C.; Ghiano, C.; Gola, A.; Horikawa, S.; et al (May 2023, Frontiers in Physics)

   SiPM-based readouts are becoming the standard for light detection in particle detectors given their superior resolution and ease of use with respect to vacuum tube photo-multipliers. However, the contributions of noise detection such as the dark rate, cross-talk, and after-pulsing (AP) may significantly impact their performance. In this work, we present the development of highly reflective single-phase argon chambers capable of displaying light yields up to 32 photo-electrons per keV, with approximately 12 being primary photo-electrons generated by the argon scintillation, while the rest are accounted by optical cross-talk. Furthermore, the presence of compound processes results in a generalized Fano factor larger than 2 already at an over-voltage of 5 V. Finally, we present a parametrization of the optical cross-talk for the FBK NUV-HD-Cryo SiPMs at 87 K that can be extended to future detectors with tailored optical simulations. 

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2. Real-Time Per-Pixel Predistortion for Head-Tracked Light Field Displays

   Wu, Tianyu; Jajoo, Anuraag; Choi, Hee-Jin Choi; Watson, Benjamin (May 2025, SID)

   The latest light-field displays have improved greatly, but continue to be based on the approximate pinhole model. For every frame, our real-time technique evaluates a full optical model, and then renders an image predistorted at the sub-pixel level to the current pixel-to-eye light flow, reducing cross-talk and increasing viewing angle. 

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3. Field programmable spin arrays for scalable quantum repeaters

   https://doi.org/10.1038/s41467-023-36098-8  

   Wang, Hanfeng; Trusheim, Matthew E.; Kim, Laura; Raniwala, Hamza; Englund, Dirk R. (December 2023, Nature Communications)

   Abstract The large scale control over thousands of quantum emitters desired by quantum network technology is limited by the power consumption and cross-talk inherent in current microwave techniques. Here we propose a quantum repeater architecture based on densely-packed diamond color centers (CCs) in a programmable electrode array, with quantum gates driven by electric or strain fields. This ‘field programmable spin array’ (FPSA) enables high-speed spin control of individual CCs with low cross-talk and power dissipation. Integrated in a slow-light waveguide for efficient optical coupling, the FPSA serves as a quantum interface for optically-mediated entanglement. We evaluate the performance of the FPSA architecture in comparison to a routing-tree design and show an increased entanglement generation rate scaling into the thousand-qubit regime. Our results enable high fidelity control of dense quantum emitter arrays for scalable networking. 

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4. Phase‐Change Logic via Thermal Cross‐Talk for Computation in Memory

   https://doi.org/10.1002/pssr.202000422  

   Kanan, Nadim; Khan, Raihan Sayeed; Woods, Zachary; Silva, Helena; Gokirmak, Ali (December 2020, physica status solidi (RRL) – Rapid Research Letters)

   Herein, logic function implementations are computationally demonstrated using lateral and vertical multicontact phase‐change devices integrated with complementary metal–oxide–semiconductor (CMOS) circuitry, which use thermal cross‐talk as a coupling mechanism to implement logic functions at smaller CMOS footprints. Thermal cross‐talk during the write operations is utilized to recrystallize the previously amorphized regions to achieve toggle operations. Amorphized regions formed between different pairs of write contacts are utilized to isolate read contacts. Typical expected reduction in CMOS footprint is ≈50% using the described approach for toggle‐multiplexing, JK‐multiplexing, and 2 × 2 routing. The switching speeds of the phase‐change devices are in the order of nanoseconds and are inherently nonvolatile. An electrothermal modeling framework with dynamic materials models is used to capture the device dynamics, and current and voltage requirements. 

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5. Accelerating multicolor spectroscopic single-molecule localization microscopy using deep learning

   https://doi.org/10.1364/BOE.391806  

   Kumar_Gaire, Sunil; Zhang, Yang; Li, Hongyu; Yu, Ray; Zhang, Hao_F; Ying, Leslie (April 2020, Biomedical Optics Express)

   Spectroscopic single-molecule localization microscopy (sSMLM) simultaneously provides spatial localization and spectral information of individual single-molecules emission, offering multicolor super-resolution imaging of multiple molecules in a single sample with the nanoscopic resolution. However, this technique is limited by the requirements of acquiring a large number of frames to reconstruct a super-resolution image. In addition, multicolor sSMLM imaging suffers from spectral cross-talk while using multiple dyes with relatively broad spectral bands that produce cross-color contamination. Here, we present a computational strategy to accelerate multicolor sSMLM imaging. Our method uses deep convolution neural networks to reconstruct high-density multicolor super-resolution images from low-density, contaminated multicolor images rendered using sSMLM datasets with much fewer frames, without compromising spatial resolution. High-quality, super-resolution images are reconstructed using up to 8-fold fewer frames than usually needed. Thus, our technique generates multicolor super-resolution images within a much shorter time, without any changes in the existing sSMLM hardware system. Two-color and three-color sSMLM experimental results demonstrate superior reconstructions of tubulin/mitochondria, peroxisome/mitochondria, and tubulin/mitochondria/peroxisome in fixed COS-7 and U2-OS cells with a significant reduction in acquisition time. 

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