Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianchun Wang, Tianchun Wang, , , | Summary: Large language model (LLM) scaling inference is key to unlocking greater performance, and leveraging diversity has proven an effective way to enhance it. Motivated by the observed relationship between solution accuracy and meaningful response diversity, we systematically study the […]
Kavli Affiliate: Joel E. Moore | First 5 Authors: Yi J. Zhao, Samuel J. Garratt, Joel E. Moore, , | Summary: We develop an excited-state real-space renormalization group (RSRG-X) formalism to describe the dynamics of conserved densities in randomly interacting spin-$frac{1}{2}$ systems. Our formalism is suitable for systems with $textrm{U}(1)$ and $mathbb{Z}_2$ symmetries, and we […]
Kavli Affiliate: Joel E. Moore | First 5 Authors: Yi J. Zhao, Samuel J. Garratt, Joel E. Moore, , | Summary: We develop an excited-state real-space renormalization group (RSRG-X) formalism to describe the dynamics of conserved densities in randomly interacting spin-$frac{1}{2}$ systems. Our formalism is suitable for systems with $textrm{U}(1)$ and $mathbb{Z}_2$ symmetries, and we […]
Kavli Affiliate: Kristin A. Persson | First 5 Authors: Jane Greenberg, Pamela Boveda-Aguirre, John Allison, Pietro Asinari, Maria Chan | Summary: The materials science community seeks to support the FAIR principles for computational simulation research. The MatCore Project was recently launched to address this need, with the goal of developing an overall metadata framework and […]
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 […]
Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Kenneth Rudinger, Kenneth Rudinger, , , | 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 calibration errors. As a result, these […]
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 […]
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 […]
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 […]
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 […]