Oct 2026· Zenodo (CERN European Organization for Nuclear Research)
Quantum Information and Cryptography
Abstract
Abstract: The exponential expansion of Artificial General Intelligence (AGI) and scalable quantum computing has precipitated a systemic, tri-fold crisis: thermodynamic and cryogenic limits in compute substrates, autonomous governance failures in emergent agentic systems, and structural vulnerabilities in telecommunications infrastructure. Traditional mitigation frameworks remain anchored to software abstraction layers—probabilistic alignment, logical filtering, and protocol-level key exchanges—all of which fail when subjected to hardware saturation, malicious state interception, or adversarial model divergence. This monograph establishes a Unified Physical-Layer Architecture that substitutes software-level heuristics with deterministic hardware controls. First, we resolve the thermodynamic bottleneck of cryogenic dilution refrigeration by formalizing the Adaptive Phonon-Gate and the PHOENIX_BRIDGE architecture, achieving room-temperature quantum spin-photonics integration and coherent state preservation via phononic bandgap manipulation and cavity electro-optics. Second, to govern hyper-autonomous multi-agent swarms under high-entropy electronic warfare (EW) conditions, we formulate Operation SOLID GENESIS and Q-SAFA v2 (Quantum-Secure Automated Fallback Architecture). These frameworks incorporate zero-knowledge Virtual Machine (zkVM) verification directly into optoelectronic circuit breakers and implement non-recoverable physical weight-pruning, establishing hardware-grounded fiduciary compliance aligned with the Delaware Caremark Standard. Finally, we eliminate systemic tracking vulnerabilities inherent in legacy telecommunications through an optically isolated Deterministic Defense Model and continuous subsea cable acoustic-sensing arrays (Project Dawlish). By anchoring thermodynamic equilibrium, algorithmic containment, and telecommunications security to the immutable stratum of physical-layer mechanics, this work provides a non-probabilistic blueprint for sovereign, resilient frontier infrastructure.
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations...
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.
This work shows that orders of magnitude enhancement in performance could be obtained by a combination of hardware improvements and tight quantum-HPC integration and introduces high-performance architectures for quantum-probabilistic computing with custom-designed accelerators to tackle today's industry-scale classical...
Masoud Mohseni, Artur Scherer, K. Johnson et al.· arXiv.org· 121 citations· ⚡9
This paper presents a comprehensive overview of the Ultralytics YOLO family, emphasizing architectural evolution, benchmarking, deployment, and emerging directions from YOLOv5 through YOLO27, and examines detection, segmentation, depth, classification, pose, oriented detection, tracking, export, quantization, and deplo...
This work revisits schema linking when using the latest generation of large language models (LLMs) and finds empirically that newer models are adept at utilizing relevant schema elements during generation even in the presence of large numbers of irrelevant ones.
Karime Maamari, Fadhil Abubaker, Daniel Jaroslawicz et al.· arXiv.org· 109 citations· ⚡19
A novel threat is unveiled in which attackers steer the RAG system's response by injecting malicious passages into its knowledge base, enabling the attacker to steer the response without altering the user input or modifying the RAG weights.
Jiaqi Xue, Meng Zheng, Yebowen Hu et al.· arXiv.org· 109 citations· ⚡8
With $2.1 million funding from Google.org, the open-source Public Transit Intelligence Hub will unify public transit monitoring, operations, and passenger communication.
Professor Sherry Turkle’s new book, “Artificial Intimacy,” offers a withering critique of chatbots and the antisocial dynamics she believes they encourage.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.