~ similar to 2605.15991v1· 20 results
Ryan Babbush, Adam Zalcman, Craig Gidney, Michael Broughton +5 more
The paper estimates the quantum resources required to break 256-bit ECC cryptography and warns that fast-clock quantum computers could enable on-spend attacks on modern cryptocurrencies, necessitating…
This paper provides a comprehensive, system-level taxonomy for designing quantum-resistant network architectures, moving beyond simple protocol substitutions to address key distribution and management…
The paper presents Broken Quantum, a comprehensive formal security audit that identifies 547 security vulnerabilities across 45 open-source quantum computing simulators, revealing critical flaws in me…
The paper proposes a two-dimensional coordinate system to map the co-evolution of cryptographic resilience and computational capability, identifying the 'Quantum Gap' as the primary systemic risk requ…
The paper demonstrates that achieving Post-Quantum Cryptography (PQC) readiness requires treating cryptographic discovery as a governance capability to manage complex dependencies and prioritize risk…
This Systematic Literature Review (SoK) investigates PQC implementation challenges using the Human, Organisation, and Technology (HOT) framework, concluding that successful adoption requires addressin…
The paper proposes a hash-based commit-reveal alternative to minimize the infrastructural overhead associated with adopting large post-quantum signature schemes in blockchain transactions.
Yunfeng Xia, Chao Li, Lei Li, Chenhao Zhang +3 more
The paper systematizes the interaction between autonomous AI agents and blockchain platforms using a bidirectional trust framework, identifying significant gaps in current standards and proposing a ta…
QSignAI is an open-source platform that integrates quantum-randomness-seeded identity signatures into a conversational AI social messaging system, demonstrating a practical bidirectional link between…
Harish Balaji, Aarav Varshney, Prasanna Ravi, Sripal Jain +5 more
This paper addresses the operational challenge of adopting Post-Quantum Cryptography (PQC) in complex financial TLS environments by presenting a methodology to automatically profile and normalize cryp…
Manik Kumar Sangala, Robin Naira, Akhirul Islam, Sudip Biswas +1 more
This survey provides a comprehensive review of the security challenges, threats, and mitigation strategies associated with the rapid advancement of quantum computing.
The paper introduces MAGIQ, a novel, quantum-resistant framework designed to securely define and enforce communication and access-control policies within multi-agent AI systems.
The paper proposes a layered, modular network architecture combining Quantum Key Distribution (QKD) and Post-Quantum Cryptography (PQC) to achieve scalable, end-to-end post-quantum security in multi-h…
The paper introduces PQC Validator, a comprehensive, layered framework designed to rigorously test and validate the actual post-quantum cryptographic readiness of cloud-native 5G Core networks, addres…
The paper proposes a Quantum Augmented Microgrid (QuAM) framework that integrates quantum networking concepts to enhance the cybersecurity, confidentiality, and privacy of decentralized microgrids aga…
The paper introduces 'quantum-safe,' a Python library that addresses the remaining 'production gap' in post-quantum cryptography (PQC) by providing robust, easy-to-use hybrid implementations and compr…
The study simulates various Post-Quantum Cryptography (PQC) signature standards for Australia's New Payments Platform, finding that Falcon-512 is the most viable candidate for maintaining Service Leve…
This paper demonstrates a non-disruptive, sidecar-based integration of NIST-standardized Post-Quantum Cryptography (PQC) into an open-source 5G core, showing that while it introduces a predictable lat…
The paper reviews adversarial machine learning vulnerabilities and proposes conceptual frameworks for enhancing AI robustness by integrating quantum computing techniques.
The paper reviews the vulnerability of AI to adversarial attacks and proposes conceptual frameworks for enhancing AI robustness by integrating quantum computing techniques.