Simulating the Quantum Threat: An AI Framework for Proactive Security

A new multi-agent AI system, Quantigence, offers a dynamic platform for organizations to assess and mitigate the evolving risks of the post-quantum cryptography transition.

A new multi-agent AI system, Quantigence, offers a dynamic platform for organizations to assess and mitigate the evolving risks of the post-quantum cryptography transition.

Researchers have achieved significant performance gains in the HQC post-quantum key encapsulation mechanism, bringing practical quantum-resistant security closer to reality.
As quantum computing advances, the foundations of blockchain security are increasingly at risk, demanding a proactive shift towards quantum-resistant cryptography.
![The study of the XXZ model, incorporating a localized defect as described by $Eq. (11)$, reveals how spectral statistics-specifically the mean level spacing ratio $\langle\tilde{r}\rangle$ computed for a system of $L=18$-and local dynamical probes, such as averaged subsystem state purity $\overline{\mathcal{P}}$ [Eq. (6)] and the averaged Choi echo $\langle\text{Tr}[\mathcal{D}(t)^{2}]\rangle\_{\mathrm{Haar},t}$ [Eq. (8)], demonstrate a clear sensitivity to parameter variations $J_{xy}/J_{z}$ and $\varepsilon/J_{z}$, and explicitly break spatial reflection symmetry through defect placement.](https://arxiv.org/html/2512.11030v1/x4.png)
Researchers have developed a novel metric, the ‘Choi echo,’ to quantify how easily quantum dynamics can be reversed, offering new insights into the interplay of decoherence and chaos.
A new systematic evaluation reveals that the ‘best’ multi-party computation protocol depends heavily on the specifics of your application and network.
New research explores how multi-clocked guarded recursion can provide a consistent foundation for coinductive types and bisimilarity, extending traditional recursion beyond finite limits.

Researchers are exploring the potential of quantum computing to enhance image recognition using recurrent neural networks and a novel image encoding technique.

A new software library simplifies the development of distributed quantum applications by bringing familiar parallel programming concepts to the quantum realm.
New research refines the limits of quantum statistical zero-knowledge, bringing us closer to understanding the fundamental capabilities of secure quantum computation.

New research challenges established assumptions about how much information can be gleaned from simple quantum measurements.