Abstract: This paper presents two improved modular multiplication algorithms: variable length Interleaved modular multiplication (VLIM) algorithm and parallel modular multiplication (P_MM) method ...

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...

Introduction: The positron emission tomography (PET) problem with Poisson log-likelihood is notoriously ill-conditioned. This stems from its dependence on the inverse of the measured counts and the ...

There might be an opportunity to consolidate. AFAIK, Fermat plus addition chain should be fastest. For our fixed parameter P256 implementation, we invert either modulo p or n. We already have a fixed ...

This is an implementation of the Karatsuba polynomial multiplication algorithm in the LEGv8 assembly language, a RISC ISA part of the ARM architecture family. This was done as my final project for ECE ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Google DeepMind’s AI systems have taken big scientific strides in recent years — from predicting the 3D structures of almost every known protein in the universe to forecasting weather more accurately ...

谷歌DeepMind在AI研究领域的最新突破，特别是AlphaEvolve的开发，引起了科技和金融市场的广泛关注。2025年5月14日上午10:00 UTC，谷歌DeepMind通过官方Twitter账号宣布，AlphaEvolve成功识别出多种新的矩阵乘法算法，显著超越了其前身AlphaTensor。这一进展展示了AI在解决复杂 ...

Google DeepMind today pulled the curtain back on AlphaEvolve, an artificial-intelligence agent that can invent brand-new computer algorithms — then put them straight to work inside the company's vast ...