Decoding Quantum Signals with Neural Networks
Researchers are exploring how machine learning can enhance the security and efficiency of quantum key distribution systems.
Science
Beyond Single Signatures: Building Resilience into Digital Agreements
A new concept, QoeSiGN, proposes a collaborative approach to qualified electronic signatures, mitigating risks and enhancing user control.
Secure Data Analysis in the Cloud: A Quantum-Resistant Approach
Researchers have developed a new scheme allowing secure keyword searches and computations on encrypted data stored in mobile cloud environments, even in the face of quantum computing threats.
Key Compromised: Machine Learning Attacks Crack Elliptic Curve Encryption
New research reveals that even modest machine learning models can effectively memorize cryptographic keys, creating a powerful new threat to widely-used encryption standards.
Beyond Redundancy: Parity Codes Pave the Way for Scalable Quantum Logic
Researchers are demonstrating how parity codes, inherent in many quantum error correction schemes, can streamline multi-qubit gate operations and accelerate the development of practical quantum computers.
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.
Speeding Up the Quantum Future: Optimizing Code-Based Cryptography
Researchers have achieved significant performance gains in the HQC post-quantum key encapsulation mechanism, bringing practical quantum-resistant security closer to reality.
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.
Turning Back Time in Quantum Chaos: A New Echo for Measuring Reversibility
![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.
Choosing the Right Secure Computation Protocol
A new systematic evaluation reveals that the ‘best’ multi-party computation protocol depends heavily on the specifics of your application and network.