Exponential quantum speedups for near-term molecular electronic structure methods

Posted by klaurent Berkeley

Kavli Affiliate: Birgitta Whaley | Summary:We prove classical simulation hardness, under the generalized $mathsfPneqmathsfNP$ conjecture, for quantum circuit families with applications in near-term chemical ground state estimation. The proof exploits a connection to particle number conserving matchgate circuits with fermionic magic state inputs, which are shown to be universal for quantum computation under post-selection, and […]


Continue.. Exponential quantum speedups for near-term molecular electronic structure methods

Exponential quantum speedups in quantum chemistry with linear depth

Posted by klaurent Berkeley

Kavli Affiliate: Birgitta Whaley | Summary:We prove classical simulation hardness, under the generalized $mathsfPneqmathsfNP$ conjecture, for quantum circuit families with applications in near-term chemical ground state estimation. The proof exploits a connection to particle number conserving matchgate circuits with fermionic magic state inputs, which are shown to be universal for quantum computation under post-selection, and […]


Continue.. Exponential quantum speedups in quantum chemistry with linear depth

The Parallel Ionizing Emissivity Survey (PIE). I. Survey design and selection of candidate Lyman Continuum leakers at 3.1

Posted by klaurent Chicago

Kavli Affiliate: Wayne Hu| First 5 Authors: Alexander Beckett, Alexander Beckett, , , | Summary:We present the survey design and initial results from the Parallel Ionizing Emissivity (PIE) survey. PIE is a large HST survey designed to detect Lyman continuum (LyC) emitting galaxies at 3.1$<$ z $<$3.5 and stack their images in order to measure […]


Continue.. The Parallel Ionizing Emissivity Survey (PIE). I. Survey design and selection of candidate Lyman Continuum leakers at 3.1

Feature Statistics with Uncertainty Help Adversarial Robustness

Posted by klaurent Peking

Kavli Affiliate: Ran Wang | First 5 Authors: Ran Wang, Xinlei Zhou, Rihao Li, Meng Hu, Wenhui Wu | Summary: Despite the remarkable success of deep neural networks (DNNs), the security threat of adversarial attacks poses a significant challenge to the reliability of DNNs. By introducing randomness into different parts of DNNs, stochastic methods can […]


Continue.. Feature Statistics with Uncertainty Help Adversarial Robustness

Certified randomness using a trapped-ion quantum processor

Posted by klaurent Cornell

Kavli Affiliate: Jeffrey Moses| First 5 Authors: Minzhao Liu, Minzhao Liu, , , | Summary:While quantum computers have the potential to perform a wide range of practically important tasks beyond the capabilities of classical computers, realizing this potential remains a challenge. One such task is to use an untrusted remote device to generate random bits […]


Continue.. Certified randomness using a trapped-ion quantum processor

Testing small-scale modifications in the primordial power spectrum with Subaru HSC cosmic shear, primary CMB and CMB lensing

Posted by klaurent Tokyo

Kavli Affiliate: Masahiro Takada | Summary:Different cosmological probes, such as primary cosmic microwave background (CMB) anisotropies, CMB lensing, and cosmic shear, are sensitive to the primordial power spectrum (PPS) over different ranges of wavenumbers. In this paper, we combine the cosmic shear two-point correlation functions measured from the Subaru Hyper Suprime-Cam (HSC) Year 3 data […]


Continue.. Testing small-scale modifications in the primordial power spectrum with Subaru HSC cosmic shear, primary CMB and CMB lensing

Survey of Disaggregated Memory: Cross-layer Technique Insights for Next-Generation Datacenters

Posted by klaurent Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Chao Li, Taolei Wang, Jinyang Guo, Hanzhang Yang | Summary: The growing scale of data requires efficient memory subsystems with large memory capacity and high memory performance. Disaggregated architecture has become a promising solution for today’s cloud and edge computing for its scalability and elasticity. […]


Continue.. Survey of Disaggregated Memory: Cross-layer Technique Insights for Next-Generation Datacenters

Magnetic phase diagram of Cr2Te3 revisited by ac magnetostrictive coefficient

Posted by klaurent UCAS

Kavli Affiliate: Long Zhang | First 5 Authors: Long Zhang, Zhongzhu Jiang, Yugang Zhang, Jing Zhang, Aifeng Wang | Summary: Two-dimensional (2D) magnetic materials have attracted considerable interest owing to their potential applications in spintronics and fundamental investigations into low-dimensional magnetism. Cr2Te3, a quasi 2D non van der Waals magnet, exhibits a complex magnetic phase […]


Continue.. Magnetic phase diagram of Cr2Te3 revisited by ac magnetostrictive coefficient

Optimizing Safe and Aligned Language Generation: A Multi-Objective GRPO Approach

Posted by klaurent Peking

Kavli Affiliate: Zhuo Li | First 5 Authors: Xuying Li, Zhuo Li, Yuji Kosuga, Victor Bian, | Summary: Aligning large language models (LLMs) with human values and safety constraints is challenging, especially when objectives like helpfulness, truthfulness, and avoidance of harm conflict. Reinforcement Learning from Human Feedback (RLHF) has achieved notable success in steering models, […]


Continue.. Optimizing Safe and Aligned Language Generation: A Multi-Objective GRPO Approach

Video Motion Graphs

Posted by klaurent UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Haiyang Liu, Zhan Xu, Fa-Ting Hong, Hsin-Ping Huang, Yi Zhou | Summary: We present Video Motion Graphs, a system designed to generate realistic human motion videos. Using a reference video and conditional signals such as music or motion tags, the system synthesizes new videos by first retrieving […]


Continue.. Video Motion Graphs