Science

A new review explores the surprising mathematical foundations and emerging applications of codes designed for maximum data recovery, even in the face of significant errors.

Researchers are integrating uncertainty directly into machine learning models to achieve more reliable predictions of challenging physical phenomena like the critical heat flux.

Researchers have demonstrated a promising new method for reading the states of molecular spin qubits by leveraging the unique properties of near-flat-band electrons and superconducting nanowires.

Researchers have developed a novel method to assess the effectiveness of logic locking techniques against malicious modification by analyzing the statistical distribution of logic cone structures.

Researchers have developed a novel distributed key generation scheme that ensures key shares remain non-exportable and secure across multiple devices.

Researchers have identified a unique algebraic structure that unifies concepts from quantum logic and many-valued reasoning, opening new avenues for formalizing non-classical systems.

Researchers have refined our understanding of how easily quantum many-body scars-rare, non-thermal states-break down under external disturbances.

Researchers are refining holographic models of quantum chromodynamics with high-precision data from lattice QCD simulations to better understand the equation of state of matter under extreme conditions.

A new implementation of the Minimal IKE protocol integrates post-quantum cryptography, offering a path to secure communication in a world threatened by quantum computers.

A new analysis reveals critical vulnerabilities in nuclear power plant security stemming from the rapidly approaching era of quantum computing.