PySCF: A Decade of Open-Source Quantum Chemistry

This review charts the evolution of PySCF, a powerful Python library that has become a cornerstone for computational chemistry research.

This review charts the evolution of PySCF, a powerful Python library that has become a cornerstone for computational chemistry research.

A new software-defined networking approach promises to streamline and optimize the performance of quantum key distribution networks.

Researchers are exploring how large language models can identify vulnerabilities in Solidity code without prior training.

A new framework offers a unified approach to protecting quantized deep learning models from both malicious attacks and real-world hardware failures.
![The Multi-Agent Soft Actor-Critic (SAC) algorithm demonstrates that complete observational information yields superior rewards compared to partial observation, highlighting the critical role of comprehensive state awareness in multi-agent system performance and effective policy optimization-a principle underscored by the algorithm’s capacity to maximize cumulative [latex] \sum_{t=0}^{T} r(s_t, a_t) [/latex] rewards.](https://arxiv.org/html/2603.13716v1/x3.png)
A new approach leverages artificial intelligence to simultaneously generate encryption keys and transmit data, bolstering security in wireless networks.
New research reveals how the geometry of specific algebraic curves can enhance the security and reliability of secret sharing schemes.

A new encryption scheme harnesses the unpredictable nature of quantum fluctuations and mechanical rotation to generate highly secure random keys for image protection.

New research suggests gravity isn’t born from perfect quantum error correction, but rather emerges from the imperfections within approximate codes.

New research reveals that topological quantum codes can maintain robust error correction even as they approach a critical phase transition, defying expectations about their stability.
![The study reveals how factorization-a cornerstone of theoretical calculations in particle physics-breaks down at specific energy scales, demonstrated by collinear splittings connecting soft modes via Glauber-gluon exchange, and signaled by measurements indicated by colored blobs on lines representing these interactions-a phenomenon ultimately challenging the completeness of any perturbative approach to understanding high-energy collisions as expressed by the hard scattering amplitude [latex]\mathcal{M}_{N}[/latex].](https://arxiv.org/html/2603.12383v1/x2.png)
New research reveals that standard methods for predicting particle collisions break down when subtle quantum effects become dominant.