Journal articleReview status unknownQuantum ComputingResearchers report crystalline oxide-nitride stack could cut dielectric loss in qubit circuitsOriginal title: Oxide-Nitride Heteroepitaxy for Low-Loss Dielectrics in Superconducting Quantum CircuitsA journal study reports a crystalline TiN/aluminium oxide/TiN trilayer with very low measured microwave dielectric loss.David A. Garcia-Wetten et al. · Added 28 Sep 2026
Conference paperReview status unknownArtificial IntelligenceResearchers report robot backdoors triggered by the robot’s own actionsOriginal title: Silent Sabotage: Internal State Triggered Backdoor Attacks on LLM-Powered Robotic SystemsResearchers demonstrate a stealthy backdoor in LLM-controlled robots that activates only after a rare sequence of the robot's own prior actions.Doniyorkhon Obidov et al. · Added 28 Sep 2026
PreprintNot peer reviewedArtificial IntelligenceA preprint reports a scanner that spots poisoned code-generation models with 97%+ accuracyOriginal title: Detecting Data Poisoning in Code Generation LLMs via Black-Box, Vulnerability-Oriented ScanningResearchers describe CodeScan, a black-box method to detect poisoned or backdoored code-generation models by scanning for known vulnerability patterns.Shenao Yan et al. · Added 28 Sep 2026
Journal articleReview status unknownQuantum ComputingHow laser phase noise limits a key trapped-ion entangling gateOriginal title: Influence of fast and slow laser phase noise on the fidelity of the Mølmer-Sørensen trapped-ion gateA Quantum Reports study analyses how fast and slow laser phase noise affects the fidelity of the Mølmer–Sørensen trapped-ion gate.Nikita Semenin et al. · Added 27 Sep 2026
Conference paperReview status unknownQuantum ComputingQBugLM benchmarks how well LLMs debug quantum programsOriginal title: QBugLM: An Agentic Benchmarking Framework for LLM-based Quantum Software DebuggingAn IEEE quantum software conference paper introduces QBugLM, a multi-agent framework that tests how well two LLMs detect and repair bugs in quantum programs.An B. B. Pham et al. · Added 27 Sep 2026 · Released Jun 2026
Journal article✓ Peer reviewedArtificial IntelligenceDynamic defence uses a model’s own layers to resist LLM jailbreaksOriginal title: Dynamic Deep Prompt Optimization for Defending Against Jailbreak Attacks on LLMsAn AAAI conference paper introduces a method that generates defensive embeddings from a model's own layers to resist jailbreak attacks.Doniyorkhon Obidov et al. · Added 27 Sep 2026 · Released Mar 2026
