The Quantum Threat to Blockchain
As quantum computing advances, the foundations of blockchain security are increasingly at risk, demanding a proactive shift towards quantum-resistant cryptography.
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.

Researchers have shown that high-quality random numbers, typically generated by quantum processes, can be faithfully reproduced using the inherent timing variations within standard computer systems.

A new approach to quantum error correction leverages the power of Transformer networks to significantly improve decoding performance for Golay codes.