Kavli Affiliate: David Hsieh| Summary:The key objective of this paper is to develop an empirical model for pricing SPX options that can be simulated over future paths of the SPX. To accomplish this, we formulate and rigorously evaluate several statistical models, including neural network, random forest, and linear regression. These models use the observed characteristics […]
Kavli Affiliate: Richard Dubois| First 5 Authors: Jonathan Dubois, Jonathan Dubois, , , | Summary:Tunneling of a particle through a potential barrier is a fundamental physical process and a major thought-provoking outcome of quantum physics. It is at the basis of multiple scientific and technological advances and strongly influences both the structuring and the dynamics […]
Kavli Affiliate: Oskar Painter | Summary:We present a dry surface treatment combining atomic layer etching and deposition (ALE and ALD) to mitigate dielectric loss in fully fabricated superconducting quantum devices formed from aluminum thin films on silicon. The treatment, performed as a final processing step prior to device packaging, starts by conformally removing the native […]
Kavli Affiliate: David Erickson| First 5 Authors: Nick Erickson, Nick Erickson, , , | Summary:With the growing popularity of deep learning and foundation models for tabular data, the need for standardized and reliable benchmarks is higher than ever. However, current benchmarks are static. Their design is not updated even if flaws are discovered, model versions […]
Kavli Affiliate: Ke Wang | First 5 Authors: Fanhao Shen, Yujie Ji, Debin Xiang, Yanzhe Wang, Ke Wang | Summary: Quantum random access memory (QRAM) enables efficient classical data access for quantum computers — a prerequisite for many quantum algorithms to achieve quantum speedup. Despite various proposals, the experimental realization of QRAM remains largely unexplored. […]
Kavli Affiliate: Jing Wang | First 5 Authors: Ruiming Chen, Junming Yang, Shiyu Xia, Xu Yang, Jing Wang | Summary: CLIP (Contrastive Language-Image Pre-training) has attracted widespread attention for its multimodal generalizable knowledge, which is significant for downstream tasks. However, the computational overhead of a large number of parameters and large-scale pre-training poses challenges of […]
Kavli Affiliate: Grace Xing | Summary:AlN has the largest bandgap in the wurtzite III-nitride semiconductor family, making it an ideal barrier for a thin GaN channel to achieve strong carrier confinement in field-effect transistors, analogous to silicon-on-insulator technology. Unlike SiO$_2$/Si/SiO$_2$, AlN/GaN/AlN can be grown fully epitaxially, enabling high carrier mobilities suitable for high-frequency applications. However, […]