Shubnikov-de Haas oscillations in coherently strained AlN/GaN/AlN quantum wells on bulk AlN substrates

Posted by klaurent Cornell

Kavli Affiliate: Grace Xing | First 5 Authors: Yu-Hsin Chen, Jimy Encomendero, Huili Grace Xing, Debdeep Jena, | Summary: We report the observation of Shubnikov-de Haas (SdH) oscillations in coherently strained, low-dislocation AlN/GaN/AlN quantum wells (QWs), including both undoped and $delta$-doped structures. SdH measurements reveal a single subband occupation in the undoped GaN QW and […]


Continue.. Shubnikov-de Haas oscillations in coherently strained AlN/GaN/AlN quantum wells on bulk AlN substrates

Heisenberg-limited calibration of entangling gates with robust phase estimation

Posted by dbos Berkeley

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Kenneth Rudinger, J. P. Marceaux, Akel Hashim, David I. Santiago, Irfan Siddiqi | Summary: The calibration of high-quality two-qubit entangling gates is an essential component in engineering large-scale, fault-tolerant quantum computers. However, many standard calibration techniques are based on randomized circuits that are only quadratically sensitive to […]


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First-principle crosstalk dynamics and Hamiltonian learning via Rabi experiments

Posted by dbos Berkeley

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Jan Balewski, Adam Winick, Yilun Xu, Neel Vora, Gang Huang | Summary: Coherent errors constitute a significant barrier to successful large-scale quantum computation. One such error mechanism is crosstalk, which violates spatial locality or the independence of operations. We present a description of crosstalk and learn the […]


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Content-Rich AIGC Video Quality Assessment via Intricate Text Alignment and Motion-Aware Consistency

Posted by dbos Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Shangkun Sun, Xiaoyu Liang, Bowen Qu, Wei Gao, | Summary: The advent of next-generation video generation models like textit{Sora} poses challenges for AI-generated content (AIGC) video quality assessment (VQA). These models substantially mitigate flickering artifacts prevalent in prior models, enable longer and complex text prompts and generate […]


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Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Yaodong Yu, Guoyizhe Wei, Wei Shao, Yuyin Zhou | Summary: Since the introduction of Vision Transformer (ViT), patchification has long been regarded as a de facto image tokenization approach for plain visual architectures. By compressing the spatial size of images, this approach can effectively shorten […]


Continue.. Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More

Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys

Posted by dbos Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Fei Shuang, Zixiong Wei, Kai Liu, Wei Gao, Poulumi Dey | Summary: Recent advances in machine learning, combined with the generation of extensive density functional theory (DFT) datasets, have enabled the development of universal machine learning interatomic potentials (uMLIPs). These models offer broad applicability across the periodic […]


Continue.. Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys

Thermoelastic Damping Across the Phase Transition in van der Waals Magnets

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Alvaro Bermejillo-Seco, Xiang Zhang, Maurits J. A. Houmes, Makars Šiškins, Herre S. J. van der Zant | Summary: A quantitative understanding of the microscopic mechanisms responsible for damping in van der Waals nanomechanical resonators remains elusive. In this work, we investigate van der Waals magnets, where the […]


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Frequency auto-homogenization using group-velocity-matched downconversion

Posted by dbos Cornell

Kavli Affiliate: Jeffrey Moses | First 5 Authors: Dylan Heberle, Christopher C. Tison, James Schneeloch, A. Matthew Smith, Paul M. Alsing | Summary: With the stability of integrated photonics at network nodes and the advantages of photons as flying qubits, photonic quantum information processing (PQIP) makes quantum networks increasingly scalable. However, scaling up PQIP requires […]


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EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Hong Qiu, Yingying Huang, Xiaozhe Gu, Renfang Wang | Summary: Magnetotelluric (MT) forward modeling is fundamental for improving the accuracy and efficiency of MT inversion. Neural operators (NOs) have been effectively used for rapid MT forward modeling, demonstrating their promising performance in solving the MT […]


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Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models

Posted by dbos Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Prasanta Bhattacharya, Hong Zhang, Yiming Cao, Wei Gao, Brandon Siyuan Loh | Summary: Stance detection has emerged as a popular task in natural language processing research, enabled largely by the abundance of target-specific social media data. While there has been considerable research on the development of stance […]


Continue.. Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models