A new analysis reveals how predictable transaction signatures on the Polygon blockchain enable the recovery of private keys, jeopardizing MEV searchers and broader network security.
The European Union is actively building a continent-wide quantum communication infrastructure to safeguard sensitive data against the looming threat of quantum computers.
![The study demonstrates that a multiplicative functional form consistently predicts endogenous elasticities-decreasing continuously from prior values as the ratio [latex]V^{a}E^{b}/\theta[/latex] shifts from less than to greater than one-and exhibits regime duality, contrasting with the fixed elasticities assumed by common specifications like CES and log-additive models, all while operating under parameters [latex]a=1.0[/latex], [latex]b=0.5[/latex], [latex]\theta=1.0[/latex], [latex]H=0.6[/latex], and [latex]M=1.15[/latex].](https://arxiv.org/html/2605.22569v1/x1.png)
A new model demonstrates that assessing the risk of future decryption attacks on quantum cryptographic systems requires a fundamentally different approach than traditional security assessments.
This article explores how applying modern software engineering practices can dramatically improve the reliability and sustainability of high-performance computing codes used in quantum materials research.
![Ephemeral Tor circuits, initiated by a [latex]\text{NEWNYM}[/latex] control signal, facilitate the delivery of encrypted fragment bundles from a Quality Key Management System (QKMS) to clients-each hosting a Tor onion service-while maintaining separation between key requests and replies as data traverses the network.](https://arxiv.org/html/2605.21349v1/architecture.png)
A new key establishment scheme distributes encrypted data fragments across multiple circuits to defend against future quantum decryption attacks and enhance anonymity.
Successfully navigating the shift to post-quantum cryptography demands a proactive, visibility-driven approach to asset prioritization and risk management.
This research details a real-world deployment of quantum-resistant cryptography within a financial institution, showcasing a framework for automated TLS configuration and hybrid key exchange.
New research demonstrates how hybrid quantum-classical machine learning can improve the accuracy and reliability of medical image analysis.
A new framework, RQ-MoE, dynamically selects compression strategies based on input data, promising significant gains in efficiency and speed.
New research reveals a subtle attack method that exploits the process of model compression, creating dormant vulnerabilities activated only after quantization.