QCLLM 2026 - Workshop on Quantum Computing for Securing Large Language Models

QCLLM 2026 is a workshop held in conjunction with the 21st International Conference on Availability, Reliability and Security (ARES 2026). Quantum computing and cybersecurity are both advancing rapidly, while Large Language Models (LLMs) are becoming increasingly important in research, industry, and society. QCLLM 2026 focuses on the intersection of these areas by exploring how quantum computing can be used to strengthen the security, robustness, and resilience of LLMs against emerging threats. The workshop aims to foster collaboration between researchers and practitioners in quantum computing, AI, and cybersecurity, with attention to both defensive opportunities and the risks posed by quantum-enabled attacks on AI systems. Topics of interest include quantum algorithms for enhancing LLM security, quantum-safe cryptography for AI models, securing LLM training and inference using quantum techniques, assessing vulnerabilities of LLMs in a quantum context, developing quantum-resistant architectures for LLMs, attacks against LLMs utilizing quantum computing, quantum machine learning applications in cybersecurity, adversarial defenses for LLMs using quantum resources, ethical implications, privacy preservation, legal considerations, and trust and explainability of quantum-secure AI models.