Zobrazeno 1 - 10
of 4 132
pro vyhledávání: '"Chang Yen-An"'
Autor:
Anthony-Petersen, Robin, Chang, Clarence L., Chang, Yen-Yung, Chaplinsky, Luke, Fink, Caleb W., Garcia-Sciveres, Maurice, Guo, Wei, Hertel, Scott A., Li, Xinran, Lin, Junsong, Lisovenko, Marharyta, Mahapatra, Rupak, Matava, William, McKinsey, Daniel N., Osterman, David Z., Patel, Pratyush K., Penning, Bjoern, Platt, Mark, Pyle, Matt, Qi, Yinghe, Reed, Maggie, Rydstrom, Ivar, Romani, Roger K., Sadoulet, Bernard, Serfass, Bruno, Sorensen, Peter, Suerfu, Burkhant, Velan, Vetri, Wang, Gensheng, Wang, Yue, Watkins, Samuel L., Williams, Michael R.
We describe observations of low energy excess (LEE) events (background events observed in all light dark matter direct detection calorimeters) and noise in a two-channel silicon athermal phonon detector with 375 meV baseline energy resolution. We mea
Externí odkaz:
http://arxiv.org/abs/2410.16510
A quantum-inspired optimization approach is proposed to study the portfolio optimization aimed at maximizing the returns of investment portfolio while minimizing its risk by diversifying investment across different asset classes. By integrating conve
Externí odkaz:
http://arxiv.org/abs/2410.05932
Autor:
Romani, Roger K., Chang, Yen-Yung, Mahapatra, Rupak, Platt, Mark, Reed, Maggie, Rydstrom, Ivar, Sadoulet, Bernard, Serfass, Bruno, Pyle, Matt
Experimental searches for axions or dark photons that couple to the standard model photon require photosensors with low noise, broadband sensitivity, and near zero backgrounds. Here, we introduce a Transition Edge Sensor (TES) based photon sensor wit
Externí odkaz:
http://arxiv.org/abs/2408.11158
Autor:
Hou, Wenyuan, Stubbs, Timothy, DeBeer-Schmitt, Lisa, Chang, Yen-Ting, Charpagne, Marie-Agathe, Smith, Timothy M., Huang, Aijun, Cordero, Zachary C.
The structural evolution of oxides in dispersion-strengthened superalloys during laser-powder bed fusion is considered in detail. Alloy chemistry and process parameter effects on oxide structure are assessed through a parameter study on the model all
Externí odkaz:
http://arxiv.org/abs/2408.01845
This work reports the procedure for modeling piezoelectric acoustic resonators and filters at millimeter wave (mmWave). Different from conventional methods for lower frequency piezoelectric devices, we include both acoustic and electromagnetic (EM) e
Externí odkaz:
http://arxiv.org/abs/2405.19591
Quantum embedding with transformers is a novel and promising architecture for quantum machine learning to deliver exceptional capability on near-term devices or simulators. The research incorporated a vision transformer (ViT) to advance quantum signi
Externí odkaz:
http://arxiv.org/abs/2402.12704
Autor:
Ramanathan, Karthik, Wen, Osmond, Aralis, Taylor, Thakur, Ritoban Basu, Bumble, Bruce, Chang, Yen-Yung, Day, Peter K., Eom, Byeong Ho, LeDuc, Henry G., Sandoval, Brandon J., Stephenson, Ryan, Golwala, Sunil R.
Microwave Kinetic Inductance Detectors (MKIDs) have been demonstrated as capable phonon sensors when coupled to crystalline substrates, and have been proposed as detectors for next-generation rare-event searches such as for the direct detection of da
Externí odkaz:
http://arxiv.org/abs/2402.05419
Autor:
Temples, Dylan J, Wen, Osmond, Ramanathan, Karthik, Aralis, Taylor, Chang, Yen-Yung, Golwala, Sunil, Hsu, Lauren, Bathurst, Corey, Baxter, Daniel, Bowring, Daniel, Chen, Ran, Figueroa-Feliciano, Enectali, Hollister, Matthew, James, Christopher, Kennard, Kyle, Kurinsky, Noah, Lewis, Samantha, Lukens, Patrick, Novati, Valentina, Ren, Runze, Schmidt, Benjamin
Publikováno v:
Phys. Rev. Applied 22, 044045 (2024)
Microcalorimeters that leverage microwave kinetic inductance detectors to read out phonon signals in the particle-absorbing target, referred to as kinetic inductance phonon-mediated (KIPM) detectors, offer an attractive detector architecture to probe
Externí odkaz:
http://arxiv.org/abs/2402.04473
The research explores the potential of quantum deep learning models to address challenging machine learning problems that classical deep learning models find difficult to tackle. We introduce a novel model architecture that combines classical convolu
Externí odkaz:
http://arxiv.org/abs/2312.01024
Publikováno v:
Quantum Mach. Intell. 6, 24 (2024)
Quantum state preparation is vital in quantum computing and information processing. The ability to accurately and reliably prepare specific quantum states is essential for various applications. One of the promising applications of quantum computers i
Externí odkaz:
http://arxiv.org/abs/2308.01844