Speeding Up Quantum Simulations with Efficient Linear Algebra
A new JAX library, lrux, dramatically accelerates quantum Monte Carlo calculations by optimizing the computation of key determinants and Pfaffians.
Science
RISC-V’s Isolation Game: Worlds Apart for Critical Systems
New research assesses how effectively RISC-V systems can isolate critical tasks from less sensitive ones, ensuring safety and reliability in complex applications.
Exotic Hadron Hunt: Simulating Tetraquarks with Quantum Computing
![The study investigates the possible configurations of double-bottom tetraquarks, specifically exploring both meson-meson and diquark-antidiquark arrangements-where [latex]Q=b[/latex] represents bottom quarks and [latex]q=u,d[/latex] signifies up or down quarks-to understand the fundamental building blocks of these exotic hadronic states.](https://arxiv.org/html/2602.05941v1/x1.png)
Researchers are leveraging quantum simulation to probe the elusive structure and properties of tetraquarks, complex particles composed of four quarks.
Sizing Up Lightweight Crypto: A Performance Deep Dive
![The system’s time complexity is delineated into three phases - Initialization [latex]T_{init}[/latex], Data Processing [latex]T_{process}[/latex], and Finalization [latex]T_{finalize}[/latex] - each contributing to the overall computational cost and defined by distinct equations that govern their respective durations.](https://arxiv.org/html/2602.05641v1/figure/time_complexity_diagram.png)
A new analysis provides a standardized framework for comparing the speed of ten finalist algorithms in the NIST Lightweight Cryptography competition.
Decoding Curves: New Advances in Algebraic Geometry Codes
This review explores the construction of efficient error-correcting codes derived from the intricate geometry of algebraic curves.
Decoding the Heart: A New AI for Accurate ECG Analysis
Researchers have developed a novel artificial intelligence model that significantly improves the reliability and clinical reasoning behind automated electrocardiogram interpretation.
Unlocking High-Strength Alloys: A New Path to Predicting Material Limits
Researchers are combining atomistic simulations and machine learning to pinpoint the microscopic factors governing the strength of complex, high-temperature alloys.
Safe Flight: Reinforcement Learning Takes on Quadrotor Control
A new framework combines Koopman operator theory and Lyapunov stability constraints to dramatically improve the safety and precision of quadrotor trajectory tracking.
Fracturing Order: How Symmetry Breaking Destroys the Toric Code
New research reveals how controlled deformation of a key quantum model leads to the loss of topological order and a fundamental shift in its boundary conditions.
Beyond the Honest Majority: Securing Decentralized Computation
New research demonstrates a path to reliable, large-scale decentralized computing even when malicious actors control the majority of nodes.